Publications Repository - Helmholtz-Zentrum Dresden-Rossendorf

Controlling the construction of physical colors on the surfaces of transparent dielectric crystals is crucial for surface coloration and anti-counterfeiting applications. In this study, we present a novel approach to creating stable physical colors on the surface of lithium niobate crystals by combining gold ion implantation with laser direct writing technologies. The interaction between the laser, the implanted gold nanoparticles, and the crystal lattice induces permanent, localized modifications on the crystal surface. By fine-tuning the laser direct writing parameters, we reshaped the gold nanoparticles into spheres of varying sizes on the crystal surface, resulting in the display of red, green, blue, and pale-yellow colors. We investigated the influence of the implanted Au nanoparticles—particularly their localized surface plasmon resonances—on the modifications of the lithium niobate crystal lattice during the laser writing process using confocal Raman spectroscopy and high-resolution transmission electron microscopy. Our findings reveal that the embedded Au nanoparticles play a pivotal role in altering the conventional light-matter interaction between the crystal lattice and the laser, thereby facilitating the generation of surface colors. This work opens new avenues for the development of vibrant surface colors on transparent dielectric crystals.

Das Management von Forschungsdaten (FDM) ist ein wichtiger Aspekt moderner wissenschaftlicher Forschung, und das Resource Description Framework (RDF) hat sich als Standard für die Modellierung und -integration von Graphdaten etabliert. Die Komplexität von RDF und den damit verbundenen Ontologien kann jedoch ein Hindernis für die Akzeptanz darstellen, insbesondere für diejenigen, die keine umfassende Ausbildung in semantischen Webtechnologien haben. Um diese Herausforderung zu bewältigen, entwickeln wir Graduate, ein Software-Tool, mit dem Benutzer:innen RDF-Graphdaten in einer benutzerfreundlichen, grafischen Oberfläche erstellen können.

Graduate bietet eine intuitive visuelle Darstellung von RDF-Graphdaten als editierbares Diagramm, mit dem Benutzer:innen RDF-Tripel mit minimalem Schulungsaufwand erstellen und ändern können. Die Software unterstützt die Verwendung von Begriffen aus Ontologien und ermöglicht es den Benutzer:innen, reichhaltige, strukturierte Daten zu erstellen, die den etablierten Standards entsprechen.

Graduate hat ein erhebliches Potenzial für die Kompetenzvermittlung in Lehre und Forschung. Die visuelle Darstellung von RDF-Graphdaten bietet eine greifbare, intuitive Möglichkeit, komplexe Datenstrukturen zu verstehen und sich damit auseinanderzusetzen, und senkt die Einstiegshürden für Forschende und Studierende, die mit dem Konzept von Graphdaten und Ontologien nicht vertraut sind. Die Software kann auch als Lehrmittel dienen, das es Lehrkräften ermöglicht, die Prinzipien der ontologiebasierten Datenmodellierung auf praktische und interaktive Weise zu demonstrieren.

Darüber hinaus unterstützt Graduate über GitLab die Versionierung, gemeinsame Nutzung und kollaborative Arbeit an Graphendatensätzen. Dies kann die interdisziplinäre Forschung und Zusammenarbeit erleichtern und ermöglicht es Forschenden, gemeinsam an Datensätzen zu arbeiten und ihre Ergebnisse mit einem größeren Publikum zu teilen. Die Integration der Software in GitLab ermöglicht es Forschenden außerdem, Änderungen über die Versionskontrolle zu verfolgen und so die Reproduzierbarkeit und Transparenz ihrer Forschung zu verbessern.

Zusammenfassend lässt sich sagen, dass Graduate einen bedeutenden Fortschritt in der RDM-Technologie darstellt und eine benutzerfreundliche Schnittstelle für die Erstellung und Verwaltung von RDF-Graphdaten bietet. Die visuelle Darstellung von RDF-Daten in der Software bietet eine intuitive Möglichkeit, komplexe Datenstrukturen zu verstehen und sich mit ihnen auseinanderzusetzen, was den Kompetenztransfer in Lehre und Forschung unterstützt.

Research data management (RDM) is an important aspect of modern scientific research, which is heavily relying on interconnected data sets and corresponding metadata. For modeling and integrating these interconnections and metadata, the Resource Description Framework (RDF) has often been proposed as a standard, since it has been in use by search engines and knowledge management systems for decades by now.

The RDF provides a graph data structure for enriched vocabularies, so-called ontologies, and therein expressed information. However, the complexity of RDF and ontologies can be a barrier to adoption, especially for those without extensive training. To overcome this challenge, we are developing Graduate, a software tool that allows users to create RDF graph data in a user-friendly, graphical interface.

Graduate provides an intuitive visual representation of RDF graph data as an editable diagram, allowing users to create and modify RDF triples with minimal training. The software supports the use of terms from ontologies and enables users to create rich, structured data that conforms to established standards.

In addition it allows for versioning, sharing and collaborative work on graph datasets via GitLab. This can facilitate interdisciplinary research and collaboration, allowing researchers to work together on datasets and share their findings with a wider audience. The software's integration with GitLab also allows researchers to track changes via version control, improving the reproducibility and transparency of their research.

In summary, Graduate represents a significant advance in RDM technology and provides a user-friendly interface for the creation and management of RDF graph data. The visual representation of RDF data in the software provides an intuitive way to understand and engage with complex data structures, supporting knowledge transfer in teaching and research.

Uranium dioxide (UO2) is a complex material with significant relevance to nuclear energy, materials science, and fundamental research. Understanding its high-temperature behavior is crucial for developing new uranium-based materials and improving nuclear fuel efficiency in nuclear reactors. Here we study the evolution of uranium state during the oxidation of UO2 in air at temperatures up to 550°C using the in-situ X-ray absorption spectroscopy in high energy resolution fluorescence detection mode at the U M4 edge, combined with electronic structure calculations. Our data reveal a complex sequence of events occurring over minutes and hours at elevated temperatures, including changes in the electronic and local structure, 5f electron occupancy, the formation of U cuboctahedral clusters, and the creation of U4O9 and U3O7 mixed U oxide phases. These findings highlight the fundamental role of clustering processes and pentavalent uranium in both the oxidation process and the stabilization of uranium materials

Motion sensing is the primary task in numerous disciplines including industrial and soft robotics, prosthetics, virtual and augmented reality appliances. In rigid electronics, rotations, displacements and vibrations are typically monitored using magnetic field sensors. Here, we will discuss on the fabrication of flexible, stretchable and printable magnetoelectronic devices. The technology platform relies on high-performance magnetoresistive and Hall effect sensors either deposited or printed on polymeric foils. These skin conformal flexible and printable magnetosensitive elements enable touchless interactivity with surroundings based on the interaction with magnetic fields. This is relevant for soft robotics [1] and human-machine interfaces based on smart skins [2-4] and smart wearables [5]. In particular, reconfigurable magnetic origami actuators [1] can be equipped with ultrathin and lightweight magnetosensitive e-skins [6], which help to assess the magnetic state of the actuator (magnetized vs. non-magnetized), decide on its actuation pattern and control sequentiality and quality of the folding process. The on-board sensing adds awareness to soft-bodied magnetic actuators enabling them to act and be controlled similar to conventional robotic devices [7]. Magnetic soft robots can be designed to perform complex collaborative tasks being driven using magnetic far fields [1] and near fields [8]. The use of magnetic near fields of on-board electromagnetic coils to drive embedded permanent magnets can provide the demanded tuneability to the mechanical strength of grippers working with objects of different stiffness including biological tissues [9]. Furthermore, we will introduce printed magnetic field sensors that can be flexible [10], stretchable [4], and capable of detection in a broad range of magnetic fields. By an appropriate choice of the polymeric binder, these solution processable magnetoelectronics can self-heal upon mechanical damage [11]. This research motivates further explorations towards the realisation of eco-sustainable magnetoelectronics. To this end, we will discuss biocompatible and biodegradable magnetosensitive devices, which can help to minimise electronic waste and bring magnetoelectronics to new application fields in medical implants and health monitoring.

[1] M. Ha et al., Reconfigurable magnetic origami actuators with on-board sensing for guided assembly. Adv. Mater. 33, 2008751 (2021).
[2] G. Canon et al., Electronic-skin compasses for geomagnetic field driven artificial magnetoreception and interactive electronics. Nature Electr. 1, 589 (2018).
[3] J. Ge et al., A bimodal soft electronic skin for tactile and touchless interaction in real time. Nature Comm. 10, 4405 (2019).
[4] M. Ha et al., Printable and stretchable giant magnetoresistive sensors for highly compliant and skin-conformal electronics. Adv. Mater. 33, 2005521 (2021).
[5] P. Makushko et al., Flexible magnetoreceptor with tunable Intrinsic logic for on-skin touchless human-machine interfaces. Adv. Funct. Mat. 31, 2101089 (2021).
[6] G. Canon et al., Magnetosensitive e-skins for interactive devices. Adv. Funct. Mater. (Review) 31, 2007788 (2021).
[7] E. S. Oliveros Mata et al., Magnetically aware actuating composites: Sensing features as inspiration for the next step in advanced magnetic soft robotics. Phys. Rev. Appl. (Review) 20, 060501 (2023).
[8] M. Richter et al., Locally addressable energy efficient actuation of magnetic soft actuator array systems. Adv. Sci. 2302077 (2023).
[9] L. Masjosthusmann et al., Miniaturized Variable Stiffness Gripper Locally Actuated by Magnetic Fields. Adv. Intel. Syst. 2400037 (2024).
[10] E. S. Oliveros Mata et al., Dispenser printed bismuth-based magnetic field sensors with non-saturating large magnetoresistance for touchless interactive surfaces. Adv. Mater. Technol. 7, 2200227 (2022).
[11] R. Xu et al., Self-healable printed magnetic field sensors using alternating magnetic fields. Nature Comm. 13, 6587 (2022).

Developing cost-effective, high-efficiency, and stable electrocatalysts for the hydrogen evolution reaction (HER) in alkaline electrolytes is of critical importance for realizing renewable hydrogen technologies. However, the sluggish HER kinetics and unsatisfied stability remain critical challenges for their practical applications. Herein, a hierarchically porous phosphorized Pt-Ni nanohexapod/N-doped graphene aerogel (P-PtNiNH/NGA) constructed by an oxidation-phosphorization-controlled reconfiguration strategy is presented. It enables fast water dissociation kinetics for an abundant supply of hydrogen ions, strong electron interaction for optimal intermediate adsorption, and an excellent anchoring effect of the NGA to avoid the aggregation and Ostwald ripening of the PtNiNHs, thus exhibiting superior activity and exceptional stability toward alkaline HER. The P-Pt₁Ni₂NH/NGA exhibits an ultralow overpotential of 15 mV at a current density of 10 mA cm^-2, a low Tafel slope of 37 mV dec^-1, and long-term stability, which are superior to commercial Pt/C. Moreover, the P-Pt₁Ni₂NH/NGA shows a high mass activity of 13.4 mA μg^-1 and a large TOF value of 13.5 s^-1 at an overpotential of 100 mV, which are 8.8 times and 9.0 times higher than commercial Pt/C (under the same Pt loading of ≈9.1 μg cm^-2). This work is of high inspiration for catalyst design to obtain ideal alkaline HER performance.

Die moderne Forschungslandschaft stellt hohe Anforderungen an Messsysteme – sie müssen präzise, flexibel und weitgehend automatisiert arbeiten, um komplexe Versuchsreihen effizient zu unterstützen. In der Forschungsanlage HAMSTER (Helmholtz Accelerator Mass Spectrometer Tracing Environmental Radionuclides) wird das etablierte EPICS-Kontrollsystem als einheitliche Schnittstelle zur Hardware eingesetzt, was eine verlässliche Basis für die Umsetzung höherer Automatisierungsmaßnahmen bildet.
Das Projekt ROCK-IT (Remote, Operando Controlled, Knowledge-driven, and IT-based) soll eine Softwarelösung schaffen, die den Messbetrieb einer Anlage mit einem hohen Automatisierungsgrad ermöglicht. Neben der Integration moderner Technologien wie Containerisierung, bestehenden Anwendungen und Services aus dem Bluesky-Ökosystem sowie Continuous Integration Pipelines wurde auch eine benutzerfreundliche Web-Oberfläche realisiert, um die Bedienprozesse zu vereinfachen. Durch die systematische Verknüpfung von Hardware, Software und IT-Methoden soll das System zudem flexibel an zukünftige Anforderungen angepasst werden.

We report on a comprehensive thermodynamic study of a quasi-two-dimensional (quasi-2D) quantum magnet Cu₂(OH)₃Br which in the 2D layer can be viewed as strongly coupled alternating antiferromagnetic and ferromagnetic chains. In an applied magnetic field transverse to the ordered spins below T_N = 9.3 K, a field-induced phase transition from the 3D ordered to a disordered phase occurs at B_c = 16.3 T for the lowest temperature, which is featured by an onset of a one-half plateaulike magnetization. By performing quantum Monte Carlo simulations of the relevant 2D model, we find that the plateaulike magnetization corresponds to a partial symmetry restoration and the full polarization in the ferromagnetic chains. Our numerical simulations also show that the magnetization saturation occurs with full symmetry restoration at a much higher field of B_s ≃ 95 T, corresponding to a 1D quantum phase transition in the antiferromagnetic chains. We argue that the experimentally observed field-induced phase transition at B_c follows from the partial symmetry restoration and the concomitant dimensional reduction.

The intertwining of competing degrees of freedom, anisotropy, and frustration induced strong quantum fluctuations offers an ideal ground for realizing exotic quantum phenomena in the rare-earth based kagome lattice. Herein, we report the synthesis, structure, thermodynamic, muon spin relaxation (μSR), nuclear magnetic resonance (NMR), and inelastic neutron scattering (INS) studies of a frustrated quantum magnet Nd₃BWO₉ (NBWO), wherein Nd³⁺ ions constitute a distorted kagome lattice. The INS experiments on NBWO allow us to establish a detailed crystal electric field (CEF) spectrum. The magnetic susceptibility reveals the presence of two energy scales in agreement with the INS results, wherein the higher-energy state is dominated by the thermal population of CEF excitations. The lowest Kramers ground-state doublet is well separated from the excited state, suggesting that the compound realizes a low-energy J_eff = 1/2 state at low temperatures. The low-energy state is witnessed via thermodynamic results that reveal an anomaly at 0.3 K typical of a phase transition, which is attributed to the presence of complex magnetic ordering phenomena. The broad maximum in the specific heat well above 0.3 K indicates the presence of short-range spin correlations. The isothermal magnetization reveals a field-induced 1/3 magnetization plateau at low temperatures. μSR relaxation rate experiments, on the other hand, neither show the signature of a phase transition nor spin freezing down to 34 mK. The zero-field μSR relaxation rate is governed by an Orbach process and reveals the presence of fluctuating moments owing to the depopulation of crystal field levels, reflected as a constant value of the relaxation rate in the temperature range 0.04 ⩽ T ⩽10 K. NMR results indicate the presence of fluctuating Nd³⁺ moments down to 1.8 K, consistent with μSR experiments. Our comprehensive results reveal that a field-induced quantum phenomenon is at play, exemplifying the proximity effect of competing magnetic states and the coexistence of static and fluctuating moments along with short-range spin correlations in this frustrated kagome magnet. The broad rare-earth RE₃BWO₉ family of frustrated kagome magnets is a promising candidate for hosting exotic quantum states driven by spin-orbit coupling and frustration.

Positron annihilation spectroscopy (PAS) is a non-destructive method for studying point defects in materials with high sensitivity. It can sense defect densities in the range of 10^15 to 10^19 cm^−3. The time for positrons to annihilate with electrons depends on the local electron density. Therefore, positrons can be trapped in neutral and negatively charged open-volume defects. Positrons are implanted into the studied material with a defined implantation energy. Changing of this energy allows for depth-resolved characterization. The user facility ELBE of HZDR provides the two main PAS techniques Doppler broadening spectroscopy (DBS) and positron annihilation lifetime spectroscopy (PALS) which allows for evaluation of the atomic environment of defects as well as defect size and density. In this contribution the most recent results of magnetron sputtered NbTiN thin films as promising candidate for improving the characteristics of superconducting radio-frequency cavities (SRF cavities) will be discussed. The correlation between defect size and their concentration and the superconducting transition temperature will be highlighted.

Die globale Forderung nach CO2-Neutralität, wie sie im Pariser Klimaabkommen
(UNFCCC, 2015) und in Folgearbeiten wie dem Sechsten Sachstandsbericht des
Intergovernmental Panel on Climate Change (IPCC, 2021) formuliert wurde,
unterstreicht die Notwendigkeit von Strategien zur Adressierung von fossilen
Restemissionen, die nicht oder nur mit sehr hohen Kosten vermeidbar sind. Vor
diesem Hintergrund wurde das interdisziplinäre Projekt Netto-Null-2050 ins Leben
gerufen, das Wissenschaftler:innen aus acht Helmholtz-Forschungszentren
zusammenbringt. Ziel des Projekts war es, die umfangreiche wissenschaftliche
Expertise der Helmholtz-Zentren zu bündeln, um Optionen zur CO2-Vermeidung und
-Entnahme umfassend zu bewerten und Lösungsansätze zur Erreichung der
Klimaneutralität in Deutschland zu entwickeln.
In der ersten Projektphase entstand mit dem Netto-Null-2050 Wegweiser (Jacob et
al., 2023) ein Katalog wissenschaftlich fundierter Handlungsempfehlungen, der
Strategien für den Übergang Deutschlands zur CO2-Neutralität bis zur Mitte des
Jahrhunderts aufzeigt. Dabei wurde betont, dass der Zeitraum bis 2030
entscheidend ist: Ansätze zur Kohlenstoffentnahme müssen intensiv erforscht und
erprobt sowie die notwendigen politischen und rechtlichen Rahmenbedingungen
geschaffen werden.
Dieser in der zweiten Projektphase erstellte Bericht zum Reality-Check baut auf
diesen Empfehlungen auf und dient der Validierung und Weiterentwicklung der
vorgeschlagenen Maßnahmen. Die Überprüfung erfolgte in einem dreistufigen
Prozess: (1) Identifikation relevanter Akteur:innen wie z. B. Praxisexpert:innen aus
der Industrie für ausgewählte Maßnahmen, (2) Sammlung ihrer Positionen durch
Interviews beziehungsweise die Analyse öffentlicher Stellungnahmen und (3)
Synthese und Interpretation des Feedbacks. Für die Diskussion von Empfehlungen
zum Energiesystem wurden auch aktuelle Bewertungen und Positionierungen von
relevanten Wissenschaftler:innen herangezogen und Transformationspfade in
Szenarien mit der realen Entwicklung verglichen. Die Fragen, wie Machbarkeit und
Zielerreichung bewertet werden und welche Implikationen aus den Aussagen und
Positionierungen für die Umsetzung der Netto-Null-2050-Empfehlungen gezogen
werden können, stehen im Mittelpunkt des Reality-Checks.
Obwohl der Reality-Check aufgrund der begrenzten Anzahl an Maßnahmen und
Einbeziehung von Akteur:innen nicht alle Aspekte abdecken konnte, stellt er einen
wichtigen ersten Schritt dar, um die Handlungsempfehlungen iterativ zu bewerten
und an die praktischen Herausforderungen anzupassen.
Darüber hinaus hat der Reality-Check versucht, Verbindungen zwischen
Akteur:innen zu fördern, die traditionell nicht gut miteinander verbunden waren,
deren Zusammenarbeit aber immer wichtiger geworden ist. So wurde beispielsweise
das kritische Dreieck zwischen Forschungseinrichtungen, der etablierten Industrie
und aufstrebenden Start-ups hervorgehoben, deren Vernetzung den
Technologietransfer erleichtert.
Der vorliegende Bericht stellt die Ergebnisse dieses Prozesses vor, indem er das
Feedback von Interessengruppen außerhalb der unmittelbaren wissenschaftlichen
Gemeinschaft zusammenfasst und dessen Auswirkungen auf die ursprünglichen
Empfehlungen analysiert. Durch die Integration dieser verschiedenen Perspektiven
wird versucht, die Praktikabilität und Effektivität der vorgeschlagenen Maßnahmen
zu verbessern und so zu dem gemeinsamen Ziel beizutragen, eine CO2-neutrale
Zukunft zu erreichen.

This document describes the mTeSS-X project requirements analysis, following the first two meetings of the focus group. In these meetings, the use cases of two TeSS instances from ELIXIR and PaNOSC were considered, with further input from project supporters. The user personas, user stories and requirements are described, followed by the metadata schema development plan.

The excitation and deexcitation of the nucleus by electromagnetic radiation at high excitation energy and high level density are described by means of γ-ray strength functions (γSF) which represent average transition strengths in a certain energy range. The experimental determination and the
theoretical understanding of the properties of γSF has attracted increasing interest because of their importance for the accurate description of photonuclear reactions and the inverse radiative-capture reactions, which play a central role in in the synthesis of the elements in various stellar environments. The standard electric dipole (E1) strength functions used in statistical reaction-model calculations are Lorentz functions adjusted to (g,n) reaction data that represent the isovector giant dipole resonance (GDR). To test the low-energy region of γSF below the neutron-separation energy, experiments using photon scattering or light-ion induced reactions are performed, in which nuclear levels below the particle-separation energies are excited. Photon-scattering experiments using broad-band bremsstrahlung at theγELBE facility of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) as well as using quasi-monoenergetic, polarized photon beams produced at the High-Intensity γ-Ray Source (HIγS), of the Triangle Universities
Nuclear Laboratory (TUNL) in Durham, NC, reveal extra E1 strength on top of the tail of a Lorentz function considered as a pygmy dipole resonance (PDR). The analysis including the quasicontinuum in the γ-ray spectra and results are presented. Recently, a strong upbend of the γSF toward zero transition energy has been observed in light-ion induced reactions. This low-energy upbend can be described on the basis of large-scale shell-model
calculations as caused by a large number of magnetic dipole (M1) transitions linking excited states with configurations dominated by protons and neutrons in high-j orbitals. A study of a series of isotopes from shell closures to open shells is presented that shows a correlation between the low-energy upbend and the scissors mode, a fundamental M1 excitation occurring in deformed nuclei.

Reported the current status of the SRF gun cavity design.

This is a pitch talk about the opportunity to develop degradable electrodes for transient electrochemical sensors based on the composite of polycaprolactone and molybdenum. There is no official abstract.

We consider a fermionic quantum system exchanging particles with an environment at a fixed temperature and study its reduced evolution by means of a Redfield-I equation with time-dependent (non-Markovian) coefficients. We find that the description can be efficiently reduced to a standard-form Redfield-II equation, however, with a time-dependent effective bath temperature obeying a universal law. At early times, after the system and environment start in a product state, the effective temperature appears to be very high, yet eventually it settles down towards the true environment value. In this way, we obtain a time-local master equation, offering high accuracy at all times and preserving the crucial properties of the density matrix. It includes non-Markovian relaxation processes beyond the secular approximation and time-averaging methods and can be further applied to various types of Gorini-Kossakowski-Sudarshan-Lindblad equations.We derive the theory from first principles and discuss its application using a simple example of a single quantum dot.

Mine tailings generated from hydrometallurgicalprocessing of nickel−cobalt laterite deposits contain high levels ofchromium (Cr), with the hexavalent species being a toxic pollutantand carcinogen. However, the partitioning, speciation, and localbonding environment of Cr in the mine tailings remain largelyunknown, hindering our ability to predict its toxicity and long-termbehavior. Coupling detailed mineralogical, spectroscopic, andgeochemical characterization with sequential extraction of tailingsfrom active and rehabilitated dams, we show that Cr is present in itsleast toxic form, Cr(III), and largely immobilized by recalcitrantminerals. This immobilization also regulates dissolved Crconcentrations in the interacting waters to levels up to five timeslower than the global regulatory limit (50 μg L−1). Solid-phase Crconcentrations were ≤1.5 wt % with 39−61% of Cr incorporated into hematite, and to a lesser extent, alunite, both of which formedearly in the hydrometallurgical extraction process of mined laterite ores. The remaining Cr was present as recalcitrant chromiteresidues from the primary source laterites. We highlight that, although hydrometallurgical extractions liberate Cr from laterite oresduring processing, they also provide ideal chemical pathways for the formation of highly stable, crystalline hematite that successfullysequesters Cr, while restricting its environmental mobility.

Symmetrische Motoranschlussleitungen
--- Betrachtung zu Störeinkopplungen und zur elektrischen Sicherheit von Anschlusskabeln mit Drillingsschutzleitern ---

Elektromotoren werden häufig über ihre Versorgungsströme gesteuert.
Das Steuern der Motorströme und damit der zugeführten Leistung verändert deren mechanisches Verhalten.
Jedoch werden diurch das Verändern der Motorströme auch Störströme erzeugt, die sich nicht vollständig vermeiden lassen.

Um die Störwirkung zu mindern, werden Anschlusskabel so gestaltet, dass Störströme weniger auf angeschlossene Systeme einwirken:

Hersteller bieten Motoranschlusskabel an, bei denen eine dreigeteilte Anordnung der Schutzleiter die Symmetrie der Kabel verbessern.
Im Vortrag werden Erkenntnisse über die Feldverteilung in diesen Kabeln vorgestellt, verursacht durch Nutz- wie auch durch Störströme.
Hieraus werden mögliche Wirkungen abgeleitet.

Im Vortrag wird auch der Einfluss der Teilung des Schutzleiters auf die elektrische Sicherheit betrachtet.
Angaben der Anbieter hierzu werden untersucht.

This study presents both numerical and experimental analyses of enhanced mixing
in a microflow system under the influence of a magnetic field. The research employed
COMSOL Multiphysics for numerical simulations and Particle Image Velocimetry (PIV) for
experimental validation. In the experimental microfluidic setup, permanent neodymium
magnets were used to influence a laminar flow of water partially enriched with Ho(III)
ions using the magnetic field. The findings confirmed that the strong interaction between
Ho(III) ions and the magnetic field significantly affected the flow and may have resulted in
vortex shedding downstream of the region with the highest magnetic field intensity. The
numerical simulations demonstrated good agreement with the PIV experimental results.
These findings suggest that it is possible to significantly enhance mixing in microflow systems
without mechanical components, solely by exploiting the differences in the magnetic
properties between the mixing substances. Traditionally, microreactors have been limited
by mixing speeds governed by diffusion. These new results indicate the practical possibility
of increasing mixing intensity in a cost-effective and safe manner.

Iron nitrides α″-Fe16N2 and α′-Fe8N have attracted significant interest due to their potential as a rare-earth-free semi-hard magnetic materials. In this work, a systematic investigation of nitrogen ion implantation fluences on iron thin films was performed to increase tetragonality beyond what is currently possible, thereby enhancing the magnetic performance. A structural characterization of samples with a different nitrogen concentration highlighted that α′-Fe8N can be formed within a fluence range from 4 to 7 × 1016 N+ ions cm−2. For increasing doses, at first crystalline Fe8Nx (x > 1) was obtained; afterward, the material went through amorphization. After annealing samples at 150 °C, the elongation of their lattice constant reached values higher than that of stoichiometric Fe8Nx (x = 1), with a largest value of 3.158(3) Å at 11.6(1) N at. % versus 3.1455 Å at 11.1 N at. %. Characterization of the magnetic properties revealed that samples with the highest magnetization also exhibit an increase in magnetic hardness.

In amorphous materials, long-range translational order breaks down, and k is no longer a good quantum number; however, some of the phenomena, for instance ferromagnetic interactions and a mechanism similar to the Berry curvature, can be preserved. Here, we demonstrate a giant Berry-curvature-induced anomalous Hall effect and anomalous Hall angle in amorphous Co2MnGa (a-CMG) thin films. Remarkably, the effect presents the same magnitude as high-quality crystalline CMG with the L21 structure. The elastic neutron scattering peak in a-CMG is centered close to the crystalline phase, indicating that the amorphous material presents similar local atomic environments and magnetic interactions. First-principles density functional theory calculations further show that the anomalous Hall conductivity arises only when the local environments in the amorphous structure are similar to the L21 phase. Our work strongly points to the application of low-cost, industry-compatible, and thermally stable amorphous topological materials in emerging electronic and spintronic applications.

Background and Purpose: Inconsistencies in identifying dose-limiting cardiovascular substructures for treating stage III non-small cell lung cancer (NSCLC) have hindered the implementation of cardiac sparing treatment planning guidelines. This study aims to address these inconsistencies by performing a multivariable survival analysis with overall survival as the endpoint using a large, multinational database, followed by external validation.
Materials and Methods: Clinical and dosimetric parameters from 1587 stage III NSCLC patients treated at five institutes were analyzed. The whole heart, four cardiac chambers, great vessels and their combinations were considered. The dataset was divided into a training set (four institutes) and a test set (one institute). The optimal parameter set was identified through cross-validation, and the resulting multivariable Cox regression model was externally validated using the test set. Adjusted hazard ratios (aHRs) for all cardiovascular parameters were evaluated.
Results: The strongest associations were found for low Dx% parameters. However, their incremental contribution to model performance, compared to clinical and lung dosimetric parameters only, was low, with small effect sizes. Specifically, the cardiovascular parameter identified by parameter selection was Left Side D5% (aHR: 1.007 Gy−1, 95 % CI: 1.004 – 1.010 Gy−1, p < 0.0001), which provided a slight improvement in model concordance index of 0.0062 (95 % CI: 0.0000–0.0127) in the training set and 0.0037 (95 % CI: −0.0200–0.0280) in the test set.
Conclusions: Although significant associations between cardiovascular parameters and survival were found, their small effect sizes should be considered when prioritizing cardiac sparing in stage III NSCLC treatment.

A stringent quality requirement for a nm-thick multi-stack heterostructures and delicate antiferromagnetic interlayer couplings inherent to giant magnetoresistive (GMR) sensors limits their seamless integration on objects with non-planar surfaces and/or biological structures. Here, we demonstrate a green transfer method of high performance and mechanically robust GMR sensors to a wide range of biological, organic and inorganic substrates. Importantly, our transfer technique relies on water and biocompatible polyvinyl alcohol (PVA) polymer and requires no complex treatments that involve harsh chemicals and conditions, allowing for transferring sensors causing no harm to the environment. A high surface tension of water employed in our transfer process ensures a smooth spreading of the sensor film reinforced by the hydrophilic PVA layer, mitigating stress concentrations in the GMR film and preserving its structural integrity. Transferred sensors maintain their performance, low noise and reveal excellent mechanical stability even after 3000 bending cycles. This green transfer technique of GMR sensors fosters various applications, e.g., to function as a human-machine interface in wearable and interactive electronics.

This work describes sensitivity analyses performed on complex black-box models used to support experimental test planning under limited resources in the context of the Mars Sample Return program, which aims at bringing to Earth rock, regolith, and atmospheric samples from Mars. We develop a systematic workflow that allows the analysts to simultaneously obtain quantitative insights on key drivers of uncertainty, the direction of impact, and the presence of interactions. We apply optimal transport-based global sensitivity measures to tackle the multivariate nature of the output and we rely on sensitivity measures that do not require independence between the model inputs for the univariate output case. On the modeling side, we apply multifidelity techniques that leverage low-fidelity models to speed up the calculations and make up for the limited amount of high-fidelity samples, while keeping the latter in the loop for accuracy guarantees. The sensitivity analysis reveals insights useful to understand the model's behavior and identify the factors to focus on during testing, in order to maximize the informational value extracted from these tests and ensure mission success even with limited resources.

Several graphical indicators have been recently introduced to help analysts visualize the marginal effects of inputs in complex models. The insights derived from such tools may help decision-makers and risk analysts in designing interventions. However, we know little about the adequacy and consistency of different indicators. This work investigates popular marginal effect indicators to understand whether they yield indications consistent with the properties of the quantitative model under inspection. Specifically, we examine the notions of monotonicity, Lipschitz, and concavity consistency. Surprisingly, only PD functions satisfy all these notions of consistency. However, when selecting the indicators, in addition to consistency, analysts need to consider the risk of model extrapolation. For situations where such risk is under control, we utilize individual conditional expectations together with PD plots. Two applications, on a NASA space risk assessment model and a susceptible exposed infected recovered (SEIR) model for the COVID-19 pandemic illustrate the insights obtained from these indicators.

Risk assessments of complex systems are often supported by quantitative models. The sophistication of these models and the presence of various uncertainties call for systematic robustness and sensitivity analyses. The multivariate nature of their response challenges the use of traditional approaches. We propose a structured methodology to perform uncertainty quantification and global sensitivity analysis for risk assessment models with multivariate outputs. At the core of the approach are novel sensitivity measures based on the theory of optimal transport. We apply the approach to the uncertainty quantification and global sensitivity analysis of emissions pathways estimated via an eminent open-source climate–economy model (RICE50+). The model has many correlated inputs and multivariate outputs. We use up-to-date input distributions and long-term projections of key demographic and socioeconomic drivers. The sensitivity of the model is explored under alternative policy architectures: a cost-benefit analysis with and without international cooperation and a cost-effective analysis consistent with the Paris Agreement objective of keeping temperature increase below 2°C. In the cost-benefit scenarios, the key drivers of uncertainty are the emission intensity of the economy and the emission reduction costs. In the Paris Agreement scenario, the main driver is the sensitivity of the climate system, followed by the projected carbon intensity. We present insights at the multivariate model output level and discuss how the importance of inputs changes across regions and over time.

Using molten salts for etching aluminum (Al) away from the MAX
phase for MXene synthesis is an attractive alternative method that allows one to
avoid the use of toxic hydrofluoric acid (HF) solutions. However, the mechanism
of the MAX phase reaction with molten salts remains to date unclear due to the
lack of in situ data. Here, we present a detailed in situ time-resolved synchrotron
radiation X-ray diffraction study of the MAX phase annealing in molten ZnCl2 and
SnCl2. The reaction of salts with the MAX phase is found to occur in two stages.
The initial period of annealing results in the delamination of two-dimensional
(2D) Ti3C2 layers, vigorous evolution of AlCl3 bubbles, and dissolution of Zn in a
ZnCl2 melt. The chlorine-terminated Ti3C2 sheets formed in the delaminated state
are restacked into a relatively well-ordered MXene structure (P63/mmc, a = 3.071 Å and c = 18.577 Å) during the prolonged
annealing in molten salts. Surprisingly, the data recorded directly in molten salts at temperatures up to 873 K demonstrate that
Ti3C2Clx MXene shows no swelling in both liquid ZnCl2 and SnCl2. The structure of MXene studied directly in the molten salts is
found to be the same as in ex situ experiments performed after cooling and water washing under ambient conditions. The absence of
the “pristine” melt-swollen phase indicates a rather different mechanism of MXene formation compared to HF-based solution
methods. Formation of MXene by gradually removing Al from the MAX phase starting at the edges of flakes and propagating into
the deeper parts of interlayers is not possible, since the molten salt is not capable of penetrating between Cl-terminated Ti3C2 layers.

Enhancing carrier mobility plays a crucial role in significantly improving thermoelectric performance. However, due to the lack of a systematic strategy, achieving high mobility remains an elusive goal for most compounds. In this study, we applied the hot-forging method to polycrystalline MnSb₂Te₄, achieving a remarkable 300% improvement in carrier mobility. Through electron backscattering diffraction microstructural analysis, we demonstrated how optimizing textures can accelerate carrier movement in MnSb₂Te₄ bulk materials. Moreover, theoretical calculations, combined with experimental positron annihilation spectroscopy, revealed that Te vacancies help counteract intrinsic cation defects, leading to a simultaneous increase in carrier mobility. As a result, the hot-forged MnSb₂Te₄ specimen, with a diameter of 15 mm, reached a record-high maximum ZT value of 1.3 at 773 K and an impressive average ZT of 0.7 between 323 K and 773 K. The experimental output efficiency of 4.6%, observed at 773 K on our MnSb₂Te₄-based single-leg module, further confirms that the improved transport properties are due to the enhanced carrier mobility. This comprehensive study offers valuable insights into mobility enhancement in MnSb₂Te₄ and provides a promising direction for exploring similar improvements in other thermoelectric materials.

The drive to expand the implementation of membrane separation technology towards harsher environments prompted the development of chemically robust epoxide-based TFC membranes. This work seeks to better understand the influence of the support on epoxide-based TFC membrane performance and properties. More specifically, it investigates the impact of porous PAN support layers of different porosities and pore sizes on the formation of poly(epoxyether) (PEE) thin films via interfacial initiation of polymerization (IIP), and their more cross-linked and more charged PEE counterparts (XL-PEE) arising from a subsequent post-treatment step. A systematic study was conducted using a series of supports with pore sizes varying from 20 nm to 90 nm and porosities in the range of 4% to 10%, while maintaining identical synthesis conditions for the selective layer. The physicochemical properties of the selective layer were characterized in-depth with X-ray photoelectron spectroscopy (XPS), elastic recoil detection (ERD), transmission electron microscopy (TEM), positron annihilation lifetime spectroscopy (PALS), and atomic force microscopy (AFM) to elucidate the synthesis-structure-performance relationship. PEE TFC membranes comprising these supports had a broad range in water permeances of 5 – 30 L m−2 h−1 bar−1 with consistent methyl orange (327.33 g mol−1) rejections of ca. 90%. The densified XL-PEE TFC membranes all achieved ca. 65% NaCl rejections, again independent of the support properties. In contrast, more porous supports resulted in more permeable TFC membranes, which can be attributed to the so-called funnel effect. Additionally, the solvent used to prepare the support layers through non-solvent induced phase separation also impacted the selective layer by affecting the interfacial properties during IIP. This work thus demonstrates that the support can serve as an easy tool to fine-tune the performance of the next-generation of high-performance epoxide-based TFC membranes.

Electrochemical deposition in magnetic field gradients is a promising method to synthesize structured deposits by exploiting the magnetic field gradient force. Typically, magnetic field gradient templates with dimensions in the millimeter range are used, but a downscaling is desirable from fundamental and application points of view. In the present study, pulse reverse plating of copper is performed in combination with four successively downscaled magnetic field gradient templates, which consist of three iron wires with diameters of 1 mm, 500 μm, 250 μm, and 125 μm. Structuring is demonstrated for all four templates, upon downscaling the Fe diameter within the templates. The deposited copper structures closely resemble the calculated profile of the magnetic field gradient term BgradB. The application of more negative deposition potentials leads to improved structuring. Based on the analysis of the current transients, this effect is explained by the action of the curl of the magnetic field gradient
force, which profits from the faster development of a steep Cu2+ concentration gradient due to the earlier transfer from a charge-transfer-controlled to a diffusion-limited deposition mode. Significant differences in morphology, ranging from needle-like growth to smooth deposits, are obtained, which vary with the magnetic field gradient profile and the deposition voltage. The results demonstrate that the combination of tailored magnetic field gradient templates and optimized electrochemical parameters offers an advanced route to control the shape and morphology of structured Cu deposits at the micrometer scale, with potential applications in microelectronics and catalysis.

This study explores the anti-cancer potential of N-methylated open-ring derivatives of carborane-substituted diclofenac analogs. By N-methylation, the open-chain form could be trapped and cyclization back to lactam or amidine derivatives was inhibited. A small library of carborane- and phenyl-based secondary and tertiary arylamines bearing carboxylic acid or nitrile groups was synthesized and analyzed for their COX-affinity in vitro and in silico. The compounds were further evaluated against mouse adenocarcinoma (MC38), human colorectal carcinoma (HCT116) and human colorectal adenocarcinoma (HT29) cell lines and showed potent cytotoxicity. Additional biological assessments of the mode of action were performed using flow cytometric techniques and fluorescence microscopy. The data obtained revealed a common antiproliferative effect coupled with the induction of caspase-independent apoptosis and the specific effects of the compound on the phenotype of MC38 cells, resulting in impaired cell viability of MC38 cells and satisfactory selectivity exceeding the antitumor activity of diclofenac.

A symmetry preserving treatment of a vector ⊗ vector contact interaction (SCI) is used as the basis for calculations of the two pion transverse momentum dependent parton distribution functions (TMDs); namely, that for unpolarised valence degrees-of-freedom and the analogous Boer–Mulders (BM) function. Amongst other things, the analysis enables the following themes to be addressed: the quark current mass dependence of pion TMDs; the impact of the gauge link model on the positivity constraint that bounds the BM function relative to the unpolarised TMD; the equivalence of direct diagrammatic and light-front wave function TMD calculations; and the size of the BM shift. Interpreted astutely, these SCI results enable one to draw insightful pictures of pion TMDs.

A weakly turbulent buoyancy-driven flow is studied experimentally and numerically in a liquid metal cylinder with small height-to-diameter
ratio. The cell represents a model of the Czochralski crystal growth process and includes heating at the bottom and non-uniform cooling at
the top. Transition to a non-axisymmetric roll-like flow structure (wind) is observed experimentally under conditions, which still produce a
nearly axisymmetric flow in the computations. It is shown that the contradiction can be explained by the flow sensitivity to temperature
boundary conditions at the cell bottom. It is made of a massive copper disk to approximate isothermal temperature conditions. Due to a finite
heat conductivity, the bottom is unable to sufficiently equalize the temperature over large distances. This deviation from isothermal conditions
is amplified in a separate experiment by a thin heat barrier at the cell’s bottom. In this case, the transition to wind is observed at a nearly
ten times lower heat flux both in numerics and experiment. The transition then produces a very long-period flow oscillation as the wind
erratically changes flow direction.

The Dulong skarn-type tin zinc indium (Sn-Zn-In) polymetallic deposit contains 5.5 million tonnes (Mt) Zn, 0.4 Mt. Sn, and 7 kt In. It is the third-largest cassiterite-sulfide deposit in China, and is located in the Laojunshan W–Sn polymetallic orefield on the southern margin of the Youjiang basin. While it is widely accepted that the Sn–Zn polymetallic mineralization is closely linked to the Yanshanian granites, the precise timing of skarn formation and its relationship to the granite magmatism has remained unclear due to a lack of reliable geochronological data. This has also hindered a comprehensive understanding of the ore-forming processes at Dulong. Garnet is a widely distributed major skarn mineral at Dulong. Field and laboratory studies have revealed two distinct garnet types (Grt I and II): Grt I is located near the main ore-controlling fault (FM), while Grt II is found near a shallow granite porphyry in eastern Dulong. Both types of garnet exhibit a core-mantle-rim structure, indicating that they were formed by multistage fluid metasomatism. In this study, in situ LA-ICP-MS U–Pb dating was carried out on both types of garnet. Additionally, major and trace element analyses of the garnet and its coexisting pyroxene were conducted to examine the formation and evolution of the skarn. The results show that Grt I has generally higher ΣREE, Y, HFSE, and U concentrations, suggesting that it was formed under low W/R ratios in a relatively reducing environment. The garnet contains a grossular core (Grt Ia), andradite mantle (Grt Ib), and a grossular-andradite solid solution rim (Grt Ic), reflecting an initial increase and then decrease in the W/R ratio of the magmatic-hydrothermal system. During this process, the fluid pH was neutral-acidic, and the oxygen fugacity (fO2) first decreased and then increased. In contrast, Grt II has lower ΣREE, Y, HFSE, and U concentrations, indicating its formation under higher W/R ratios in a more oxidizing environment. This garnet has also a grossular core (Grt IIa), andradite mantle (Grt IIb), and a grossular-andradite solid solution rim (Grt IIc). This reflects a system where the W/R ratio first increased and then decreased. The fluid pH shifted from neutral-acidic to acidic, and the fO2 increased gradually. LA-ICP-MS U–Pb dating yielded 93 ± 2.4 Ma to 90.9 ± 0.7 Ma for Grt I and 80.4 ± 6.6 Ma for Grt II. Comparing these results with published data on the Cretaceous regional magmatism and Sn-polymetallic mineralization, we conclude that the magmatichydrothermal activity that formed Grt I and Grt II was associated with the concealed phase-II and phase-III Laojunshan granite, respectively. This study highlights the opportunities offered by garnet U–Pb dating for elucidating the formation age and ore genesis of Sn–Zn skarn systems.

Recent nearby supernovae and other cosmic explosions produce also long-lived radionuclides that penetrate into the solar system and are collected in terrestrial and lunar archives. Accelerator Mass Spectrometry (AMS) is used to identify minute amounts of these live radionuclides in environmental samples. Such signatures provide insight into the location and frequency of recent nearby Supernova activity and r-process events.

However, only in a few cases the proper combination of environmental archive and long-lived radionuclide allows to identify a clear fingerprint of such a rare input. Measurements of Supernova-produced 60Fe (T1/2=2.6 Myr) in deep-sea sediments and FeMn crusts as well as in lunar soil point to multiple Supernovae occurring in our solar vicinity within the past 10 Myr. Besides 60Fe, recently also the pure r-process nuclide 244Pu (T1/2=81 Myr) was detected in deep-sea archives demonstrating that r-process indeed occurred within the past few 100 Myr.

In this presentation, I will also discuss present technical constraints in the detection of such radionuclides by AMS and ongoing work increasing the capabilities for the analysis of additional interstellar radionuclides, e.g. 182Hf and 247Cm.

CFD simulations of gassed stirred tanks remain challenging for engineering practices due to complex geometries, rotating
components, and multifaceted interfacial phenomena. Effective case setups that serve engineering purposes require more than
the mere aggregation of existing CFD code functionalities, demanding substantial time and effort for development. This study
presents a consistent workflow for the simulation of stirred tanks, taking advantage of the recent developments in the open-
source CFD software distributed by OpenFOAM Foundation. A generic case demonstrates the workflow providing a foundational
setup for engineers and researchers to extend towards more complex scenarios. The work emphasizes the importance of
exemplary setups with varying degrees of complexity as an essential collection of knowledge.

79Se is a key radionuclide concerned in the geological disposal of high-level radioactive waste. Unlike lower valent Se(IV), previous studies have reported that the reduction of aqueous Se(VI) into insoluble Se0 or FeSe2 by pyrite is challenging under ambient temperatures. Considering the thermal environment of radioactive waste repositories and the widespread presence of pyrite in the host rocks, this study investigated Se(VI) reduction by natural arsenic-scarce and arsenic-rich pyrites, namely Py@TL and Py@LY, respectively, under conditions of pH ~2.0 to ~9.0 and temperatures ranging from 25 to 85 C. The results reveal that elevated temperatures and acidic conditions significantly enhance Se(VI) reduction to insoluble Se0, adhering to a pseudo-zero-order kinetic model. The apparent activation energy (Ea) values were determined to be 40.5  2.4 and 59.1  3.0 kJmol-1 for Se(VI) reduction by the arsenic-scarce Py@TL, and 51.0  1.8 and 63.2  12.6 kJmol-1 for the arsenic-rich Py@LY, at pH ~2.0 and ~2.5, respectively. These Ea values highlight surface chemical reactions as the rate-determining step, elucidating the inertness of Se(VI) on pyrite surfaces at ambient temperatures. Notably, arsenic impurities in Py@LY appear to enhance the reactivity by modifying the local structure of pyrite, but excessive Fe2+, As3+ competition, and solid layers of As0 and S0 impede the reduction process and elevate the apparent Ea. These findings provide novel insights into Se(VI) reduction mechanisms under complex geochemical conditions.

Antimony is a priority pollutant, whose mobility in redox-dynamic environments may be controlled by interactions with Fe(III) hydroxide minerals that form via Fe(II) oxidation. In this study, we examined the Fe(III) hydroxide precipitates and associated mechanisms of Sb(V) sequestration that result from Fe(II) oxidation in the presence of Sb(V) under neutral pH conditions. To achieve this aim, oxidation experiments were carried out in O2-saturated, Fe(II)-bearing solutions (buffered at pH 7) over a range of environmentally relevant Sb(V) concentrations (equivalent to Sb(V):Fe(II) molar ratios of 0, 0.01, 0.04, 0.1 and 0.25). Under these experimental conditions, Fe(II) oxidation occurred rapidly (within 20 minutes) causing associated removal of Sb(V) from solution via coprecipitation with the resulting Fe(III) hydroxides. At low Sb(V):Fe(II) ratios (< 0.1), lepidocrocite was the only Fe(III) mineral product of Fe(II) oxidation, whereas higher ratios resulted in formation of feroxyhyte. Both lepidocrocite and feroxyhyte retained Sb(V) within their crystal structure via Sb(V)-for-Fe(III) substitution. This mechanism of Sb(V) retention largely protected the solid-phase Sb(V) from release processes. Collectively, these results highlight the coupled role that interactions between Sb geochemistry and the Earth's near-surface Fe cycle can play in controlling both Fe(III) hydroxide mineralogy and Sb mobility.

Field emission of electrons (unwanted emission of electrons from the surface) in SRF cavities is one of the critical issues faced during the operation of the cavities whcih limits its performance. We share our more than 2 decades of experience with field emission in the LINAC and gun cavity.

Magnetic properties of crystalline solids are fundamental to a wide range of applications, capturing the attention of a vast scientific community. Thus, engineering magnetic order in materials such as ferromagnetism and antiferromagnetism holds great scientific and technological interest. Defects such as vacancies, interstitials, and dopants induce local perturbations within the crystal lattice. These perturbations locally disturb the entire symmetry of crystals, resulting in symmetry breaking. Oxides, in particular, exhibit intriguing properties when subjected to defects, which can lead to significant modifications in their structural, electronic, and magnetic properties. Such defects in non-magnetic oxides can induce magnetic symmetry breaking, leading to the formation of emergent magnetic domains and orderings. In this review, we focus on the recent progress in magnetic breaking symmetries in materials via defect engineering and present our perspectives on how these may lead to new understanding and applications.

Background: Approximately 50% of individuals with psychosis spectrum disorders (PSD)
experience visual hallucinations and deficits in visual processing. Cerebral blood flow (CBF)
alterations have been identified in the occipital lobe (OL) and fusiform gyrus (FG) in PSD.
However, prior studies neither report on cytoarchitectonic subregions of the OL or FG, nor their
correlations with cognition. Moreover, perfusion differences across neurobiologically defined
psychosis Biotypes in these regions are not investigated yet.
Methods: ExploreASL and FreeSurfer were used to extract perfusion measures from pseudo-
continuous arterial spin labeling scans of visual (hOc1-hOc3v, middle temporal area (MT)) and
fusiform (FG2-FG4) subregions in 122 bipolar disorder with psychosis (BP), 179
schizoaffective disorder (SAD), 203 schizophrenia (SZ), and 350 healthy controls (NC), as well
as psychosis Biotypes (BT1-3). The data was adjusted for scanner effects using ComBat.
Analyses were co-varied for total gray matter CBF. We used R to perform statistical
comparisons across PSD and NC and across Biotypes. Partial Spearman correlation was
performed between CBF and cognitive measures. Benjamini & Hochberg correction was used
to correct for multiple comparisons.
Results: PSD exhibited greater perfusion in MT and FG2 compared to NC. Perfusion
significantly differed across psychosis Biotypes in hOc1 but not across diagnostic groups.
Higher MT and FG4 perfusion in PSD were associated with worse overall cognitive
performance.
Conclusions: Visual and fusiform subregions demonstrate significant perfusion
alterations which may indicate neurovascular deficits in PSD. Moreover, these perfusion
alterations may contribute to cognitive impairments and visual abnormalities in psychosis.

The invention relates to a compound of general formula I
(formula I)
wherein
A is a chelator selected from the group consisting of
k is independently at each occurrence 0, 1, or 2;
m is independently at each occurrence 1, 2, 3, 4 or 5;
n is independently at each occurrence 0, 1, 2 or 3;
p is independently at each occurrence 1, 2 or 3;
q is independently at each occurrence 1, 2 or 3;
u is independently at each occurrence 0 or 1;
X and Y are substituted or unsubstituted amino acids;
M 22 4 262 Application Text.docx
L is a bifunctional linker selected from group, consisting of
wherein v, x, and y are independently of each other 0, 1, 2, or 3 and z is 0, 1, 2 ,3, 4 or
5; and
R is H, methyl or ethyl.

Die Erfindung betrifft ein Verfahren zur Abtrennung Seltener Erden aus einer festen oder einer wässrigen Phase mittels Lösungsmittelextraktion. Das Verfahren umfasst die Schritte: a) Kontaktieren einer wässrigen Phase (1) mit einer zweiten Phase (2), ausgewählt aus fester oder einer organischen flüssigen Phase, so dass aufgrund des Übergangs der Seltene Erden in Form von Seltenen-Erden-Ionen (3) von der zweiten oder in die zweite Phase ein Konzentrationsgradient innerhalb der wässrigen Phase entsteht, und b) Anlegen eines Magnetfelds (4) mittels eines Magneten (5) während des Kontaktierens an der Kontaktfläche, wobei das Magnetfeld so ausgerichtet wird, dass der Magnetfeldgradient antiparallel zum Konzentrationsgradienten der Seltenen Erden-Ionen in der wässrigen Phase ist und wobei das Produkt der Seltenen-Erden-abhängigen magnetischen Suszeptibilität χ und des Magnetfeldgradienten größer als 0,002 T2/m ist.

Abstract
Objective: Many industrial wastewater streams contain various base and critical metals, which have to be removed, from the point of view of both environmental and economic reasons. Ion flotation is a simple physicochemical separation process for such streams. The process requires addition of surface active chemicals such as frothers that generate foam and collectors that collect metal ions. The separation efficiency of ion flotation process is controlled by the collector surfactants. As a way towards green processes, ion flotation is being assessed for the use of environmentally friendly alternatives. In this context, there has been a recent surge of research on use of biosurfactants as flotation reagents. The primary interest of this research is to scrutinize the useability of biosurfactants as ecofriendly ionflotation reagents and provide an insight into metal complexation and selectivity. This work is a part of our research aiming to develop a fundamental understanding of biosurfactants metal interactions.
Rhamnolipids are a group of glycolipid type of biosurfactants containing one or two rhamnose sugars attached to two beta hydroxyl fatty acid chains and produced by various strains of Pseudomonas species. The properties of rhamnolipid as ion collectors, like surface and interfacial activity and metal complexation ability for various base and critical metals are investigated with dynamic surface tension studies and isothermal titration calorimetry (ITC), in order to advance their application in bioionflotation process.
Results: The influence of various metals ions (Ga, As, Al, Mn, Ni, Co and Li) on surface activity of rhamnolipid revealed significant impact. Presence of metals ions shifted the surface activity curve of rhamnolipid. This change in trend can be attributed to the complexation of rhamnolipid with metal ions that lead to longer diffusion at the sub-surface and then to interface resulting in higher surface ages. Further, the shifting of surface tension curves of rhamnolipid is different for various tested metals, with Al being farthest followed by Ga and other metals. However, the surface tension curve for rhamnolipid in presence of As and Li alone does not show this behavior suggesting no complexing interaction of rhamnolipid with these metal ions. The difference in shifting of the curves with different metals shows that such surface tension studies in presence and absence of ions could provide an indirect suggestion on the possible selectivity or preference for complexation between different metal ions by surface active agent. Additionally, the rhamnolipid-metal complexation was evaluated using ITC to determine the thermodynamic characterization of the interaction of rhamnolipid with metal ions. The results show high binding affinity for metals as Ga>Mn>Ni>Co, suggesting the complexation. Moreover, ITC data also showed that rhamnolipid did not interact with Li and As, thus supporting the surface tension results. We will also discuss experimental findings of recent interaction studies at the Synchrotron in Melbourne, Australia.
Conclusion: The role of rhamnolipid as ion collector in the ion flotation process was assessed in the current study. In particular, our results revealed that the rhamnolipid showed the high affinity towards Al and Ga followed by other base metals, whereas no interaction was observed with As and Li. Further, the binding affinity results from ITC supported the surface activity results. Overall, the proposed approach of studying the effect of metal ions on surface activity and determining the binding affinity using ITC enables a better description of the possible selectivity of metals in mixed metal solutions and can be used during the design of flotation experiments.

Die Erfindung betrifft einen Wärmespeicher zum Speichern thermischer Energie, wobei der Wärmespeicher eine Speicherelement-Anordnung mit einem oder mehreren Kombinations-Wärmespeicherelementen aufweist, wobei jedes der Kombinations-Wärmespeicherelemente ein aus einem Festkörpermaterial bestehendes Festkörper-Wärmespeicherelement aufweist, in
dem ein oder mehrere mit einem Phasenwechselmaterial befüllte Hohlräume ausgebildet sind.

Research software is an important output of research and must be published according to the FAIR Principles for Research Software. This can be achieved by publishing software with metadata under a persistent identifier. HERMES is a tool that leverages continuous integration to automate the publication of software with rich metadata. In this work, we describe the HERMES workflow itself, and how to extend it to meet the needs of specific research software metadata or infrastructure. We introduce the HERMES plugin architecture and provide the example of creating a new HERMES plugin that harvests metadata from a metadata source in source code repositories. We show how to use HERMES as an end user, both via the command line interface, and as a step in a continuous integration pipeline. Finally, we report three informal case studies whose results provide a preliminary evaluation of the feasibility and applicability of HERMES workflows, and the extensibility of the hermes software package.

Research Software Engineering has emerged as a critical discipline atthe intersection of software development and research with the aim of enhancingthe quality, reliability, and reproducibility of scientific software. In this paper wepresent a comparative analysis of the experiences gained from teaching full-semesterResearch Software Engineering (RSE) courses at four different universities in Ger-many. Despite its growing importance, there is limited literature on the pedagogicalapproaches and challenges encountered in teaching RSE courses, particularly at theuniversity level. This paper investigates and contrasts the contexts, designs, andexperiences of RSE courses offered at the TU Braunschweig, TU Dresden, Uni-versity of Hamburg and University of Potsdam. By synthesizing the experiencesand insights gleaned from these four universities, this study aims to provide valu-able guidance and best practices for educators seeking to develop or enhance RSEeducation initiatives.

The unconventional superconductor UTe₂ exhibits numerous signatures of spin-triplet superconductivity—a rare state of matter which could enable quantum computation protected against decoherence. UTe₂ possesses a complex phase landscape comprising two magnetic field-induced superconducting phases, a metamagnetic transition to a field-polarized state, along with pair- and charge-density wave orders. However, contradictory reports between studies performed on UTe₂ specimens of varying quality have severely impeded theoretical efforts to understand the microscopic origins of the exotic superconductivity. Here, we report a comprehensive suite of high magnetic field measurements on a generation of pristine quality UTe₂ crystals. Our experiments reveal a significantly revised high magnetic field superconducting phase diagram in the ultraclean limit, showing a pronounced sensitivity of field-induced superconductivity to the presence of crystalline disorder. We employ a Ginzburg–Landau model that excellently captures this acute dependence on sample quality. Our results suggest that in close proximity to a field–induced metamagnetic transition the enhanced role of magnetic fluctuations—that are strongly suppressed by disorder—is likely responsible for tuning UTe₂ between two distinct spin-triplet superconducting phases.

Imagine: A 30 year old Fortran code. 10K lines of three-letter variables, almost no commentary of varying correctness and no one left to remember how it works. Amazingly it is still in use - even though it is unclear how exactly it calculates what it calculates…

Somewhere buried in these dusty bits and bytes supposedly lies an algorithm that promises to be better than the tools that a research group have available, faster and more precise.

The HIFIS RSE-consulting team was approached to help with investigating this software, unlocking its hidden secrets and coming up with a way to deal with this kind of "inherited software", because we can be sure: There is a lot more where that came from.

In this talk we will present how we approach this problem, the plan, the steps already taken, the challenges encountered, what worked (or at least looks promising) and what didn't.

Centrosymmetric compounds which host three-dimensional topological spin structures comprise a distinct subclass of materials in which multiple-q magnetic order is stabilized by anisotropy and bond frustration in contrast to the more common path of antisymmetric exchange interactions. Here we investigate static and dynamic magnetic properties of the cubic perovskite SrFeO₃—a rare example of a centrosymmetric material hosting two types of topological spin textures: skyrmionlike and hedgehoglattice phases. Our detailed magnetization and dilatometry measurements describe the domain selection processes and phase transitions in SrFeO₃. Spin excitations are investigated using inelastic neutron scattering for all three zero-field phases. In the higher-temperature ordered phases, high-energy magnons increasingly lose coherence, so that spin fluctuations are dominated by a distinct quasielastic component at low energies. We anticipate that this could be generic to symmetric helimagnets in which the chiral symmetry is spontaneously broken by the magnetic order.

Oscillations of conductance observed in strong magnetic fields are a striking manifestation of the quantum dynamics of charge carriers in solids. The large charge carrier density in typical metals sets the scale of oscillations in both electrical and thermal conductivity, which characterize the Fermi surface. In semimetals, thermal transport at low-charge carrier density is expected to be phonon dominated, yet several experiments observe giant quantum oscillations in thermal transport. This raises the question of whether there is an overarching mechanism leading to sizable oscillations that survives in phonon-dominated semimetals. In this work, we show that such a mechanism exists. It relies on the peculiar phase-space allowed for phonon scattering by electrons when only a few Landau levels are filled. Our measurements on the Dirac semimetal ZrTe₅ support this counterintuitive mechanism through observation of pronounced thermal quantum oscillations, since they occur in similar magnitude and phase in directions parallel and transverse to the magnetic field. Our phase-space argument applies to all low-density semimetals, topological or not, including graphene and bismuth. Our work illustrates that phonon absorption can be leveraged to reveal degrees of freedom through their imprint on longitudinal thermal transport.

Below a critical temperature T_c, superconductors transport electrical charge without dissipative energy losses. The application of a magnetic field B generally acts to suppress T_c, up to some critical field strength at which T_c -> 0 K. Here, we investigate magnetic field–induced superconductivity in high-quality specimens of the triplet superconductor candidate UTe₂ in pulsed magnetic fields up to B = 70 T. Strikingly, we find that this material has a higher T_c when B > 40 T (T_c ≈ 2.4 K) than it does for B = 0 T (T_c = 2.1 K). This observation points to a fundamentally distinct mechanism for the formation of superconductivity at high B in Ute₂ compared to the case of B = 0 T.

Combining chemical and whole-cell catalysts enables sustainable chemoenzymatic cascade reactions. However, their traditional combination faces challenges in catalyst recycling and maintaining cell viability. Here, we introduce a supramolecular host–guest strategy that efficiently attaches photocatalysts to bacterial cells, facilitating recyclable photobiocatalysis. This method involves attaching a cationic polyethylenimine (PEI) polymer, functionalized with beta-cyclodextrin (beta-CD), to E. coli cells. The polymer attachment is biocompatible and protective, safeguarding the cells from harsh conditions such as UV radiation and organic solvents, without causing cell death. Additionally, the presence of beta-CD imparts a plug-and-play capability to the cells, enabling the straightforward integration of guest photocatalysts – specifically anthraquinone – onto the cell surface through host–guest interactions. This effective combination of cellular and chemical catalysts promotes efficient photobiocatalytic cascades and supports the photocatalyst's recycling and reuse. This supramolecular system thus represents a promising platform for advancing photobiocatalysis in cascade synthesis.

Biomolecular condensation is an important mechanism of cellular compartmentalization without membranes. Formation of liquid-like condensates of biomolecules involves protein-protein interactions working in tandem with protein-water interactions. The balance of these interactions in condensate-forming proteins is impacted by multiple factors inside of a living organism. This work investigates the effects of post-translational modifications (PTMs) and salt concentration as two such perturbing factors on the protein Fused in Sarcoma (FUS), an RNA binding protein. The protein was obtained from two expression systems differing by their capability to add PTMs to the protein, bacterial and insect cell. Attenuated total reflection Terahertz spectroscopy is used to probe the solvation behavior in condensates formed from FUS protein with and without PTMs at 100 mM and 2.5 M KCl. The results show that while PTMs impact the phase-separating propensity, they do not alter protein solvation in the condensate. On the other hand, salt concentration was found to alter the stiffness of the water hydrogen bond network. These findings have implications for biomolecular condensates chemistry, showing that condensate molecular organization is perturbed by fluctuations in solvent properties.

The Helmholtz Association strongly promotes the field of research software engineering. Among other activities, the Helmholtz Research Software Directory (RSD) was developed and the Helmholtz Software Award was launched. But these great initiatives have raised questions:

How exactly do you find the great software?
How do you encourage the development teams to publish it and describe it in such a way that not only insiders understand what it's all about?
How can international reviewers be recruited and how can they evaluate software applications in areas they are not specialized on?
How do you compare and evaluate software that differs greatly not only in terms of technical aspects, but also in terms of maturity, user community and target groups?

The Helmholtz RSD has developed into a successful repositoiry and is increasingly bringing added value to software developers and scientists. The first Helmholtz Software Prize 2023 was awarded in three categories and the applications for the second call 2024 have been received and are being reviewed. At the same time the topic of evaluating research results, including data and software, has recently become increasingly important. Here too, the evaluation of research software is playing an important role.

In this presentation, the experiences and results of these processes will be presented in detail. The topics mentioned and still in flux are of growing importance for universities, research institutions and also the NFDI consortia! These experiences in this still relatively new field are therefore valuable information and a basis for discussions in the RSE community!

Tungsten oxide (WOx) films grown on tungsten (W) are characterized by depth-resolved Doppler-broadening spectroscopy (DBS) and positron-annihilation lifetime spectroscopy (PALS) as primary analytical methods. The WOx films are prepared on W(111) monocrystals using either exposure to air, electrochemical, or thermal oxidation procedures, chosen according to the desired thickness. We calculate the lifetime of positrons in the bulk of WOx and in different types of vacancies using the atomic superposition (AtSup) method. These give the size required for a multivacancy in WOx needed for it to be identifiable by PALS. In our experiments, we identified a distinct positron lifetime of 325 p⁢s in the thin oxide layer on W exposed to air. This value overlaps with that of multivacancy sites in W and, hence, should be taken into account in future PALS studies of radiation-induced defects in W.

Supercrystalline nanocomposites (SCNCs) are a new class of hybrid materials consisting of organically functionalized nanoparticles that are arranged into periodic architectures, featuring multi-functional properties. While their mechanical behavior is starting to be assessed, the time-dependent aspects thereof, and especially creep, remain unexplored. This lack of understanding is an obstacle towards future implementation of SCNCs into devices. It is therefore imperative not only to capture experimentally the creep behavior of SCNCs, but also to develop models that accurately predict its evolution. Here, a model is proposed to capture the nanoindentation creep behavior of SCNCs, using both rheological models and free volume theory. The creep compliance derived from the rheological model shows a stress-dependent trend, indicating nonlinear viscoelasticity. The presence of free volume is experimentally detected in SCNCs via positron annihilation lifetime spectroscopy. It decreases in size with increasing degrees of crosslinking of the organic phase, a phenomenon attributed to the shrinkage of superlattices. The creep compliance is predicted by introducing a shift factor to account for the evolution of the relaxation time caused by the change in free volume. A free volume-based creep model is proposed to predict the creep behavior of SCNCs, and its applicability is validated through new nanoindentation creep tests at varying loads.

It took 78 years from Mendeleev’s proposal of an existence of “eka-manganese” (1869) until it was finally named as technetium (Tc) in 1937. Another 78 years have passed since then. This provides a good occasion to pinpoint what we know and what we still do not know of this radioelement. Technetium is placed near the center of the Periodic Table, in the center of the groups 6, 7, and 8. Some chemical properties of the elements surrounding technetium show trends within the columns or along the rows of the Periodic Table, but a consistent interpretation of these trends is lacking as long as the knowledge on technetium remains incomplete. This is especially remarkable as, on the other hand, the isotope 99mTc is applied on a daily basis in nuclear medicine. The aim of this paper is to review the fundamental understanding of technetium chemistry, mostly focusing on the research of the last decade,
its implications, and its future perspectives. These developments show a picture of growing connections between physicochemical data, fundamental inorganic chemistry, organometallic and coordination chemistry, computational chemistry, and geochemistry

The Helmholtz Association is adding a new indicator for research data and research software publications to its reporting. A working group with members from all Helmholtz centers has been working on defining this new indicator and the Helmholtz general assembly has approved their suggestion in its fall meeting of 2024. In this talk the indicator as well as the ideas behind it and the methods to collect the information are introduced. The indicator is based on a maturity model looking at various aspects of a research software publication, thus also providing value to the authors of the software and research software researchers as it makes multiple aspects of research software as a scientific publication itself visible.

This work illustrates the verification of the nTF/CTF multi-physics core solver for full core VVER-1000 analysis and more specifically the X2 benchmark. The coupled code system is compared with a solver of similar capabilities, Serpent2/SCF. The differences in the models and in the methods employed by the multi-physics core solvers are discussed in detail. Their impact is studied by comparing nTF/CTF with Serpent2/SCF for single VVER assembly calculations with different modeling options. Then, the two code systems are compared for the Hot Full Power (HFP) state of the X2 benchmark, which includes two phases, one with default modeling options for all codes, and one with consistent modeling options. Overall, nTF/CTF presents good agreement with Serpent2/SCF, in terms of power, temperature and boron concentration. The existing discrepancies can be partly attributed to the different methods and correlations used by the codes involved in the coupled code systems.

The continuous advances in micro- and nanofabrication technologies have inevitably led to major improvements in field-effect transistor (FET) design and architecture, significantly reducing component footprint and enabling highly efficient integration into many electronic devices. Combined efforts in the areas of materials science, life sciences, and electronic engineering have unlocked opportunities to create ultrasensitive FET chemo-and biosensor devices that are coupled with more diverse and complex integration requirements in terms of hardware interfacing, reproducible functionality, and handling of analyte samples. Integration of FET chemo- and biosensors remains one of the major bottlenecks in bridging the gap between fundamental research concepts and commercial sensing devices. In this review, we critically discuss different strategies and formats of integration in the context of key requirements, fabrication scalability, and device complexity. The intentions of this review are: 1) to provide a practical overview of successful FET sensor integration approaches, 2) to identify crucial challenges and factors limiting the extent of FET sensor integration, and 3) to highlight promising perspectives for future developments of FET sensor integration. We believe that our structured insights will be helpful for scientists and engineers of various profiles focusing on the design and development of FET-based chemo- and biosensor devices.

Transient electronic sensing devices are essential for temporary healthcare monitoring, enabling timely diagnostics and eliminating risks associated with implant removal. With the growing emphasis on the circular economy, designing fully biodegradable or bioresorbable sensors has also emerged as a key strategy to mitigate electronic waste in healthcare applications. Electrochemical biosensors offer significant advantages for healthcare monitoring, combining simple construction and cost-efficiency with high sensitivity, fast response times, and straightforward data readout. These sensors are typically built with metal film electrodes patterned on an insulating substrate. However, when constructed from degradable materials and exposed to biofluids, electrochemical biosensors face challenges such as electromechanical instability, rapid or uneven dissolution, and ineffective surface functionalization which can compromise detection specificity. To address these limitations, we develop composite electrodes made from polycaprolactone (PCL) and molybdenum (Mo), materials chosen for their slow degradation rates under physiological conditions. The Mo/PCL composite provides stable, slow degradation in physiological conditions, creating a dependable interface for short-term electrochemical sensing when layered on an insulating PCL substrate. Based on this sensing interface concept, we fabricate a fully degradable impedimetric sensor using a scalable and cost-effective process that includes solution-based techniques (solvent casting, doctor blade coating, and immersion precipitation), laser cutting, and facile bonding methods such as hot press lamination and gluing. The sensor is optimized for detecting α-amylase, a biomarker relevant to pancreatic health, stress response, and certain metabolic disorders. Monitoring α-amylase levels is crucial both in vitro in extracted biofluids and in vivo near the resection and anastomosis sites following pancreatic surgery. Detection specificity is achieved by functionalizing the interdigitated Mo/PCL electrodes with an α-amylase-sensitive hydrogel coating made of modified phytoglycogen particles. This hydrogel forms a three-dimensional network that degrades in response to α-amylase in a controlled, concentration-dependent manner, and swells as crosslinking density decreases, causing measurable changes in impedance spectra. This measurement mechanism allows for the quantification of α-amylase across a wide range of concentrations (10¹–10⁵ U/L), covering levels relevant to various diagnostic scenarios, including potentially harmful enzyme leakage caused by pancreatic surgery. The distinct degradation time scales and profiles of Mo and PCL also allow residual PCL layers to be effectively upcycled for additional sensor fabrication without compromising functionality. We foresee opportunities to develop a variety of electrochemical sensors using similar strategies, adaptable to diverse measurement settings and environments.

This study investigates the effect of dispersant on the froth flotation of representative polymer electrolyte membrane water electrolyzer (PEMEL) catalyst particles, specifically TiO2 and carbon black. Since the used material showed significant difference in their (de) wetting behavior, mechanical processes such as froth flotation can achieve selective separation of the particles. In the previous research on liquid-liquid particle separation, SHMP significantly improved the dispersion ability of TiO2, alleviating stabilization at the interface and enhancing its recovery. Hence, sodium hexametaphosphate (SHMP) is proposed to address the challenge of hydrophilic TiO2 entrainment in the froth phase.
Both pristine particles and ionomer-containing particles were prepared for the test. The behaviour of the synthesized particles represents that of real particles from the cell in the system. The amphiphilic structure of ionomer significantly influenced particle separation based on wettability differences. Moreover, to overcome the limitation of ultrafine particles in froth flotation, a hydrophobic double emulsion was used to selectively agglomerate carbon black particles.
SHMP improved the recovery and grade of both particles effectively by stabilizing TiO2 in the particle dispersion and preventing its undesired recovery in the froth phase.
While many studies focus on chemical processes for PGMs recovery, the approach with mechanical separation methods present a more sustainable recycling strategy for PEM water electrolyzers.

The NAPMIX project aims to create a cross-domain metadata schema tailored for the Nuclear, Astro, and Particle Physics communities. By leveraging local and international connections, including Open Science initiatives like EOSC, EURO-LABS, and the ESCAPE Cluster, NAPMIX will foster synergies with related fields, enhancing cross-domain interoperability. The schema will facilitate the sharing and long-term findability of datasets, representing a breakthrough in Open Science within experimental physics. Community feedback will be integral to refining the schema, ensuring its relevance and sustainability.

Vanadium plays a pivotal role in various cutting-edge applications, from strengthening steel to enabling renewable energy storage through vanadium redox flow batteries, among others. Among all sources, vanadium recovery from LD converter slags has proven to be one of the best secondary resources. However, recovery from low-grade (approximately 2-3% vanadium) LD converter slags remains challenging due to their complex composition and low vanadium content. In contrast, high-grade slags (10-12% vanadium) are processed through energy-intensive pyrometallurgical routes. Therefore, conventional methods for vanadium recovery from low-grade LD converter slags are neither economically viable nor environmentally friendly, highlighting the need for sustainable hydrometallurgical alternatives2,3.

The present study investigates a hydrometallurgical approach involving acidic leaching and solvent extraction to efficiently recover vanadium from low-grade slags, examining the influence of various parameters, such as acid concentration, pulp density, particle size, and leaching time. The study shows that the exothermic reaction positively influences leaching efficiency, achieving about 80-95% vanadium recovery under specific conditions. Following leaching, solvent extraction using the acidic extractant diethylhexyl phosphate (D2EHPA) achieves over 80% vanadium recovery with negligible iron co-extraction. In the subsequent stripping stage, controlled acid concentrations are applied to successfully remove iron, yielding a vanadium-enriched solution of 98% purity suitable for vanadium pentoxide synthesis.

This work highlights the feasibility of hydrometallurgical methods in bridging the vanadium supply gap, offering both economic and environmental benefits while contributing to a sustainable future for the steel industry.

This study represents a first comprehensive investigation on how the decorporation agents CaNa3-DTPA (DTPA) and 3,4,3-LI(1,2-HOPO) (LIHOPO) affect EuIII interactions with human and rat kidney cells in vitro. Cell biological investigations were complemented with physicochemical measurements to correlate cytotoxic impairments with intracellular metal uptake and EuIII speciation.
Upon exposure to sole DTPA or LIHOPO, cell viability and morphology are affected in a time- and concentration-dependent manner. For both decorporation agents, detailed EC50 values for renal cells in vitro are reported. Simultaneous application of EuIII + DTPA in the medium leads to formation of the soluble and largely cell impermeable EuDTPA2− complex. At ligand excess, this significantly reduces intracellular EuIII uptake. However, EuDTPA2− was spectroscopically detected also inside cells indicating that small fractions of this complex are able to pass the plasma membrane. When EuIII + LIHOPO is applied to the medium, the soluble EuLIHOPO− complex is formed. In contrast to DTPA, this drastically enhances intracellular EuIII uptake even at ligand deficit demonstrating that EuLIHOPO− is highly cell permeable. Concomitantly, this complex was spectroscopically detected inside cells confirming its plasma membrane passage and intracellular stability. Nevertheless, due to stable EuIII binding, the cell viability is not influenced by the increased intracellular EuIII content. In fact, the applied ligand concentration is much more critical in this regard, emphasizing the need for cytotoxic investigations.
Our results improve the knowledge of the cellular interactions of lanthanides ± decorporation agents and demonstrate the combination of in vitro cell culture and spectroscopy being a sophisticated toolbox for this.

The presentation refers to the advances in research data management developed for the photon and neutron communities (PaN) in the context of the two EU projects PaNOSC and ExPaNDS. Both projects played a crucial role in advancing open science within the European research landscape.

Rare earth elements (REEs) have become necessary in a wide range of high-technology applications due to their unique magnetic, electronic and optical properties. The materials are used in consumer electronics, and they play a big role in the renewable energy technologies. Although REEs are relatively abundant in the Earth’s crust, low concentrations of single elements in minerals makes economically viable extraction challenging. With the growth of green technologies, global demand for REEs can be expected to rise significantly, increasing the need for efficient recycling and recovery of these materials.
NdFeB permanent magnets contain notable amount of REEs like neodymium, praseodymium, dysprosium and gadolinium, therefore making end-of-life magnets a valuable waste stream. The development of effective recycling processes optimizes the return of valuable metals, minimizes the need for primary mining of REE and reduces Europe's dependence on imports of critical raw materials. In this study, we investigate the leaching of waste magnet powders with mineral and organic acids in dependence on typical parameters like leaching time and acid concentration. Since the pregnant leaching solution (PLS) contains a significant amount of Fe(III), an innovative solvent extraction route for the selective separation of Fe(III) is developed. It is important to mention that, Fe(III) removal is universal and critical issue in primary and secondary processing of rare earth metals.
Optimization of the relevant process parameters contact time, pH, A/O ratio and anion system for single element and mixed solutions of Nd(III) and Fe(III) in the extraction system NdX3–FeX3–acid/amine–kerosene is carried out. Extraction yields of 80–95 % for Fe(III) and 10–30 % for Nd(III) in pHeq. of 1.8 indicate a possible separation of Fe(III) from a PLS. As a result of further investigations such like the development of extraction isotherms, process conditions for continuous experiments with laboratory mixer-settler system are set. In addition, the method is tested for solution containing organic acid.

Warm dense matter (WDM) is an extreme state that abounds in a host of astrophysical objects such
as giant planet interiors, brown dwarfs, and the outer layer of neutron stars. On Earth, WDM plays
an important role for technological applications such as material science, synthesis and discovery. A
particularly important application is given by inertial confinement fusion, where both the fuel
capsule and the ablator have to traverse the WDM regime in a controlled way to reach ignition.
From a physical perspective, WDM is characterized by the intriguing though highly nontrivial
interplay of effects such as Coulomb coupling, strong thermal excitations, quantum degeneracy and
partial ionization, making its rigorous theoretical description notoriously difficult [1]. A second
challenging aspect of studying WDM is the reliable diagnostics of corresponding experiments.
Here, X-ray Thomson scattering (XRTS) has emerged as a widely used tool that is, in principle,
capable of giving one microscopic insights into the probed sample [2]. In practice, however, the
interpretation of XRTS measurements requires an accurate theoretical description of its electronic
properties, which were usually treated based on a number of de-facto uncontrolled model
assumptions such as the decomposition into effectively bound and free electrons within chemical
models.
Here, I give an overview of a number of recent developments that open up new avenues for the
future study of warm dense matter without previous models and approximations. First, I will show
how we can extract a wealth of information such as the temperature [3] or the absolute intensity [4]
directly from the XRTS measurement by switching to the so-called imaginary-time domain---a well
known concept that naturally emerges in Feynman’s path integral formulation of statistical
mechanics and that involves a simple Laplace transform of the experimental signal. Second, I will
show new ab initio path integral Monte Carlo (PIMC) simulation capabilities [5] that allow us to
simulate light elements without any empirical input such as the usual exchange—correlation
functional in DFT or the nodal structure in restricted PIMC. Taken together, these advances allow
for a true first-principles interpretation of the measured XRTS intensity. As a practical example, we
re-examine an XRTS measurement on warm dense beryllium that was collected at the National
Ignition Facility (NIF) in California. Interestingly, we find that using either PIMC or DFT [6]
simulations leads to a substantially reduced mass density compared to the much simpler chemical
models used in the original work [7], which has important implications for the interpretation of
future XRTS experiments, and which calls into question the accuracy of radiation hydrodynamics
models in the WDM regime.
The talk is concluded by outlining remaining limitations and ongoing efforts to extend current
capabilities [8].
[1] T. Dornheim et al., Physics of Plasmas 30, 032705 (2023)
[2] S. Glenzer and R. Redmer, Reviews of Modern Physics 81, 1625 (2009)
[3] T. Dornheim et al., Nature Communications 13, 7911 (2022)
[4] T. Dornheim et al., Scientific Reports 14, 14377 (2024)
[5] T. Dornheim et al., arXiv:2402.19113 (submitted)
[6] T. Dornheim et al., arXiv.2409.08591 (submitted)
[7] T. Döppner et al., Nature 618, 270-275 (2023)
[8] Th. Gawne et al., Physical Review B 109, L241112 (2024)

We summarize a number of recent developments that allow for the model-free interpretation of x-ray Thomson scattering (XRTS) measurements taken on warm dense matter combined with state-of-the-art ab initio path integral Monte Carlo (PIMC) simulations. As a practical example, we consider a an XRTS dataset taken at the National Ignition Facility (NIF) on strongly compressed beryllium. Interestingly, our new approach gives us a substantially lower density compared to previously used chemical models, which has potentially important implications for the integrated radiation hydrodynamics modelling of inertial fusion energy applications.

The use of bismuth and its compounds in biomedicine has developed rapidly in recent years. Due to their unique properties, there are great opportunities for the development of new non-invasive strategies for the early diagnosis and effective treatment of cancers. This perspective highlights key fabrication methods to generate well-defined and clinically relevant bismuth materials of varying characteristics. On the one hand, this opens up a wide range of possibilities for unimodal and multimodal imaging. On the other hand, for effective treatment strategies, which are increasingly based on combinatorial therapies, are given a great deal of attention. One of the biggest challenges remains the selective tumour targeting, whether active or passive. Here we present an overview on new developments of bismuth based materials moving forward from a simple enrichment at the tumour site via uptake by the mononuclear phagocytic system (MPS) to a more active tumour specific targeting via covalent modification with tumour-seeking molecules based on either small or antibody-derived molecules.

Background: The CNO cycle powers core H burning, in stars with M > 1.2M(solar), and shell H burning, during the advanced evolutionary phases. Therefore, the uncertainties affecting the reaction rates of proton captures on C, N, and O isotopes limit our understanding of stellar evolution and nucleosynthesis.

Purpose: We aim to develop a general and self-consistent tool for the calculation of nuclear reaction rates and their uncertainties, starting from available experimental data. As a longer term plan, we intend to use this tool to revise the proton-capture reactions of the CNO cycle for which new experimental data are or will be available in the next future.

Method: The general procedure consists of R-matrix cross section calculations based on available measurements of the relevant nuclear parameters (energies, widths, strengths of known resonances, interference patterns, etc.), coupled to a Monte Carlo procedure to evaluate the global reaction rate error.
Results: A first application of this method to 17O(p,γ)18F and 17O(p,α)14N, the reactions that determine the 17O destruction in stellar interiors where the CNO cycle is active, is presented. These two reactions also allow us to test the multichannel and multilevel capabilities of the R-matrix method. In the temperature range of hydrostatic H burning (T < 100 MK), we confirm that the median rates are up to a factor of 2 higher than those suggested in reaction rate libraries commonly used in stellar model calculations. In this temperature range, the 17O destruction mainly proceeds through the 17O(p,α)14N channel, whose rate is known within ±20% (95% C.L.).

Conclusions: Based on current stellar models of red giant stars, we show that this uncertainty produces a 10% variation on the predicted 16O/17O abundance ratio. Other uncertainties, such as those affecting the 17O production rate, i.e., the 16O(p,γ)17F reaction, have a stronger impact on this theoretical prediction, a fact that motivates further experimental investigations of the 17O production channel.

The transition from planar to three-dimensional (3D) magnetic nanostructures represents a significant advancement in both fundamental research and practical applications, offering vast potential for next-generation technologies like ultrahigh-density storage, memory, logic, and neuromorphic computing. Despite being a relatively new field, the emergence of 3D nanomagnetism presents numerous opportunities for innovation, prompting the creation of a comprehensive roadmap by leading international researchers. This roadmap aims to facilitate collaboration and interdisciplinary dialogue to address challenges in materials science, physics, engineering, and computing. The roadmap comprises eighteen sections, roughly divided into three parts. The first section explores the fundamentals of 3D nanomagnetism, focusing on recent trends in fabrication techniques and imaging methods crucial for understanding complex spin textures, curved surfaces, and small-scale interactions. Techniques such as two-photon lithography (TPL) and focused electron beam-induced deposition enable the creation of intricate 3D architectures, while advanced imaging methods like electron holography and synchrotron x-ray tomography provide nanoscale spatial resolution for studying magnetization dynamics in three dimensions. Various 3D magnetic systems, including coupled multilayer systems, artificial spin-ice, magneto-plasmonic systems, topological spin textures, and molecular magnets are discussed. The second section introduces analytical and numerical methods for investigating 3D nanomagnetic structures and curvilinear systems, highlighting geometrically curved architectures, interconnected nanowire systems, and other complex geometries. Finite element methods are emphasized for capturing complex geometries, along with direct frequency domain solutions for addressing magnonic problems. The final section focuses on 3D magnonic crystals and networks, exploring their fundamental properties and potential applications in magnonic circuits, memory, and spintronics. Computational approaches using 3D nanomagnetic systems and complex topological textures in 3D spintronics are highlighted for their potential to enable faster and more energy-efficient computing.

Miniature electronics positioned within textile braids leverages the persistent flexibility and comfort of textiles constructed from electronics with 1D form factors. Here, we developed touchless interactivity within textiles using 1D overbraided magnetic field sensors. Our integration strategy minimally impacts the performance of flexible giant magnetoresistive sensors, yielding machine-washable sensors that maintain conformability when integrated in traditional fabrics. These overbraided magnetoresistive sensors exhibit a detectivity down to 380 nT and a nearly isotropic magnetoresistance amplitude response, facilitating intuitive touchless interaction. The interactivity is possible even in humid environments, including underwater, opening reliable activation in day-to-day and specialized applications. To showcase capabilities of overbraided magnetoresistive sensors, we demonstrate a functional armband for navigation control in virtual reality environments and a self-monitoring safety helmet strap. This approach bridges the integration gap between on-skin and rigid magnetic interfaces, paving the way for highly reliable, comfortable, interactive textiles across entertainment, safety, and sportswear.

DRACO (Dresden laser acceleration source) [15] is a state-of-the-art highpower ultra-short pulse laser experiment at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), dedicated and optimized for investigating relativistic laserplasma physics. The proposed master thesis focuses on developing a DRACO DataMaster extension that would enable advanced data handling for the DRACO experiment at HZDR. The data generated in experimental runs at the DRACO experiment comprises integer, double, float, and array values stored in tabular formin the DRACO internal database. The DRACO DATAMASTER establishes an automated pipeline for creating knowledge graphs from unsorted tabular data that will be enriched with metadata in compliance with ontologies tailored for DRACO experiments. This approach, aligned with FAIR principles (Findable, Accessible, Interoperable, and Reusable) [58], would enable deeper scientific insight and decision-making by enhancing data integration, structuring, and visualization. The proposed pipeline would significantly increase the efficiency and effectiveness of the data-driven research at HZDR, advancing experimental endeavors by providing a robust toolset for scientists.