Foto: Forschungsprogramm Energieeffizienz, Materialien und Ressourcen ©Copyright: BengsResource Technologies

Energy > Energy Efficiency, Materials and Resources - All Topics

Foto: Expedition nach Maamorilik, Westgrönland mit HIF-Beteiligung - Ziel ist es, hoch aufgelöste geologische Karten der Erdoberfläche zu erstellen, um das Rohstoffpotenzial des Landes besser einzuschätzen. ©Copyright: HZDRFrom the copper cables to the lithium batteries, metal and mineral raw materials play a vital role in our everyday lives. The demand for these resources in terms of quantity and diversity is increasing, especially for use in renewable energy, electromobility, communications and other advanced technologies. At the same time, however, ensuring their continued availability poses a growing number of global challenges, as mineable deposits tend to be located in inhospitable areas or at great depths, while the ores themselves have low metal content and are often fine-grained and complex in structure. How can supplies be secured in the long term? An important contribution to the more efficient use of resources can be made by recycling (known as the Circular Economy) and by minimizing loss from the system. The Helmholtz Institute Freiberg for Resource Technology (HIF) is dedicated to providing the innovative technologies that are urgently needed.

HIF was set up in 2011 by the German government as part of its national strategy for raw materials. The research team has been drawn from multiple scientific disciplines and has been gathered together under a single roof to look into such issues as the exploration, processing, metallurgy and recycling of mineral resources. By precisely analyzing the properties of raw materials and the valuable substances they contain as well as by means of computer simulation, it is possible to quantify the material and energy efficiency of processes along the value chain and to identify new solutions for the socially responsible and commercially viable use of raw materials. The focus at HIF is on complex resources from primary and secondary sources as well as on high technology metals such as indium, gallium, germanium and rare earth elements.

HIF is a constituent part of the Helmholtz-Zentrum Dresden-Rossendorf and works in close collaboration with TU Bergakademie Freiberg. It is a core member of the European EIT RawMaterials network, having played a decisive role in its establishment.


  • Developing new technologies for safeguarding the long-term supply of mineral and metalliferous raw materials from domestic and global sources
  • Contribution to global environmental protection through material and energy efficieny
  • Establishing long-term economic relations with resource-based countries
  • Training a new generation of highly qualified scientists and engineers for German industry and for academia

Press Releases

Involved HZDR institutes




  • Huang, M.; Uhlemann, M.; Eckert, K. et al.
    Pulse reverse plating of copper micro-structures in magnetic gradient fields
    Magnetochemistry 8(2022) (10.3390/magnetochemistry8070066)
  • Birjukov, M.; Zvejnieks, P.; Lappan, T. et al.
    Particle tracking velocimetry in liquid gallium flow around a cylindrical obstacle
    Experiments in Fluids 63(2022)6, 99 (10.1007/s00348-022-03445-2)
  • Glavinic, I.; Galindo, V.; Stefani, F. et al.
    Contactless Inductive Flow Tomography for real-time control of electromagnetic actuators in metal casting
    Sensors 22(2022)11, 4155 (10.3390/s22114155)
  • Reinecke, S.; Buntkiel, L.; Kipping, R. et al.
    Process characterization in industrial vessels by flow-following sensor particles
    Measurement Science and Technology 33(2022)9, 095106 (10.1088/1361-6501/ac75af)
  • Keshavarzi, B.; Krause, T.; Sikandar, S. et al.
    Protein Enrichment by Foam Fractionation: Experiment and Modeling
    Chemical Engineering Science (2022) (10.1016/j.ces.2022.117715)
  • Shi, P.; Sommer, A.-E.; Rox, H. et al.
    Euler-Euler / RANS Modeling of Solid-liquid Flow in Stirred Tanks: a Comprehensive Model Validation
    Minerals Engineering 185(2022), 107679 (10.1016/j.mineng.2022.107679)
  • Huang, M.; Skibinska, K.; Zabinski, P. et al.
    On the prospects of magnetic-field-assisted electrodeposition of nano-structured ferromagnetic layers
    Electrochimica Acta 420(2022), 140422 (10.1016/j.electacta.2022.140422)
  • Blishchik, A.; Glavinic, I.; Wondrak, T. et al.
    Effects of electrically conductive walls on turbulent magnetohydrodynamic flow in a continuous casting mold
    International Journal of Heat and Fluid Flow 95(2022), 108967 (10.1016/j.ijheatfluidflow.2022.108967)
  • Kaas, A.; Mütze, T.; Peuker, U. A.
    Review on zigzag air classifier
    Processes 10(2022)4, 764 (10.3390/pr10040764)
  • Nain Camacho Hernandez, J.; Link, G.; Schubert, M. et al.
    Novel Mixing Relations for Determining the Effective Thermal Conductivity of Open-Cell Foams
    Materials 15(2022)6, 2168 (10.3390/ma15062168)
  • Ahmad, H.; Mehdi, S.; Hoang, D. H. et al.
    Technological assessments on recent developments in fine and coarse particle flotation systems
    Minerals Engineering 180(2022), 107509 (10.1016/j.mineng.2022.107509)
  • Javadi, A.; Jafarlou, A.; Eckert, K. et al.
    CTAB-Silica nanoparticle complexes - dynamic surface tension measurements and modeling
    Colloids and Surfaces A: Physicochemical and Engineering Aspects 629(2021), 127448 (10.1016/j.colsurfa.2021.127448)
  • Werner, D. M.; Mütze, T.; Peuker, U. A.
    Influence of Cell Opening Methods on Electrolyte Removal during Processing in Lithium-Ion Battery Recycling
    Metals 12(2022)4, 663 (10.3390/met12040663)
  • Talebi, H.; Mueller, U.; Peeters, L. J. M. et al.
    Stochastic Modelling of Mineral Exploration Targets
    Mathematical Geosciences (2022) (10.1007/s11004-021-09989-z)
  • Skibińska, K.; Kornaus, K.; Yang, X. et al.
    One-step synthesis of the hydrophobic conical Co-Fe structures – the comparison of their active areas and electrocatalytic properties
    Electrochimica Acta 415(2022), 140127 (10.1016/j.electacta.2022.140127)
  • Alasino, P. H.; Paterson, S. R.; Kirsch, M. et al.
    The role of crustal thickness on magma composition in arcs: An example from the pre-Andean, South American Cordillera
    Gondwana Research 106(2022), 191-210 (10.1016/
  • Burisch, M.; Markl, G.; Gutzmer, J.
    Breakup with benefits - hydrothermal mineral systems related to the disintegration of a supercontinent
    Earth and Planetary Science Letters 580(2022), 117373 (10.1016/j.epsl.2022.117373)
  • Stergiou, Y.; Hauser, M. J. B.; Comolli, A. et al.
    Effects of gravity modulation on the dynamics of a radial A + B → C reaction front
    Chemical Engineering Science 257(2022), 117703 (10.1016/j.ces.2022.117703)
  • Nekrylov, N.; Kamenetsky, V. S.; Savelyev, D. P. et al.
    Platinum-group elements in Late Quaternary high-Mg basalts of eastern Kamchatka: Evidence for minor cryptic sulfide fractionation in primitive arc magmas
    Lithos 412-413(2022), 106608 (10.1016/j.lithos.2022.106608)
  • Glavinic, I.; Muttakin, I.; Abouelazayem, S. et al.
    Laboratory Investigation of Tomography-Controlled Continuous Steel Casting
    Sensors 22(2022)6, 2195 (10.3390/s22062195)
  • Hampel, U.; Babout, L.; Banasiak, R. et al.
    A review on fast tomographic imaging techniques and their potential application in industrial process control
    Sensors 22(2022)6, 2309 (10.3390/s22062309)
  • Shourni, S.; Javadi, A.; Hosseinpour, N. et al.
    Characterization of protein corona formation on nanoparticles via the analysis of dynamic interfacial properties: Bovine serum albumin - silica particle interaction
    Colloids and Surfaces A: Physicochemical and Engineering Aspects 638(2022), 128273 (10.1016/j.colsurfa.2022.128273)
  • Javadi, A.; Dowlati, S.; Shourni, S. et al.
    Experimental techniques to study protein–surfactant interactions: New insights into competitive adsorptions via drop subphase and Interface exchange
    Advances in Colloid and Interface Science 301(2022), 102601 (10.1016/j.cis.2022.102601)
  • Lyon, T.; Mütze, T.; Peuker, U. A.
    Decoating of Electrode Foils from EOL Lithium-Ion Batteries by Electrohydraulic Fragmentation
    Metals 12(2022)2, 209 (10.3390/met12020209)
  • Morris, W.; Ugalde, H.; Kirsch, M. et al.
    A multi-parameter approach for recognition of anthropogenic noise in aeromagnetic data collected over populated areas: Erzgebirge, Germany
    Geophysical Prospecting 70(2022)3, 593-617 (10.1111/1365-2478.13179)
  • Neill, B.; Lucero, C.-B.; Magnus, F. et al.
    The resources, exergetic and environmental footprint of the silicon photovoltaic circular economy: Assessment and opportunities
    Resources, Conservation and Recycling 169(2021) (10.1016/j.resconrec.2021.105516)
  • Sittner, J.; Brovchenko, V.; Siddique, A. et al.
    Three-dimensional distribution of platinum group minerals in natural MSS-ISS ores from the Norilsk 1 Deposit, Russia
    Frontiers in Earth Science 10(2022), 860751 (10.3389/feart.2022.860751)
  • Mahmud Parvez, A.; David Lewis, J.; Afzal, M. T.
    Potential of industrial hemp (Cannabis sativa L.) for bioenergy production in Canada: Status, challenges and outlook
    Renewable and Sustainable Energy Reviews 141(2021), 110784 (10.1016/j.rser.2021.110784)
  • Mahmud Parvez, A.; Hafner, S.; Hornberger, M. et al.
    Sorption enhanced gasification (SEG) of biomass for tailored syngas production with in-situ CO2 capture: Current status, process scale-up experiences and outlook
    Renewable and Sustainable Energy Reviews 141(2021), 110756 (10.1016/j.rser.2021.110756)
  • de Assis Dias, F.; Wiedemann, P.; Schleicher, E. et al.
    Improvement of wire-mesh sensor accuracy via adapted circuit design and integrated energy loss measurement
    Measurement Science and Technology 33(2022), 084002 (10.1088/1361-6501/ac6ab4)
  • Ravera, F.; Miller, R.; Zuo, Y. Y. et al.
    Methods and models to investigate the physicochemical functionality of pulmonary surfactant
    Current Opinion in Colloid & Interface Science 55(2021), 101467 (10.1016/j.cocis.2021.101467)
  • Talebi, H.; Peeters, L. J. M.; Otto, A. et al.
    A Truly Spatial Random Forests Algorithm for Geoscience Data Analysis and Modelling
    Matériaux & Techniques 54(2022)1, 1-22 (10.1007/s11004-021-09946-w)
  • Opara, C. B.; Kutschke, S.; Pollmann, K.
    Fractionation of metal(loid)s in three European mine wastes by sequential extraction
    Separations 9(2022)3, 67 (10.3390/separations9030067)
  • Fröhlich, F.; Siikaluoma, J.; Osbahr, I. et al.
    Genesis of sulphide vein mineralization at the Sakkatti Ni-Cu-PGE deposit, Finland
    The Canadian Mineralogist 59(2021)6, 1485-1510 (10.3749/CANMIN.2100020)
  • Zelenski, M.; S. Kamenetsky, V.; Nekrylov, N. et al.
    High Sulfur in Primitive Arc Magmas, Its Origin and Implications
    Minerals 12(2022), 37 (10.3390/min12010037)
  • Kutyrev, A.; Zelenski, M.; Nekrylov, N. et al.
    Noble metals in arc basaltic magmas worldwide: A case study of modern and pre-historic lavas of the Tolbachik volcano, Kamchatka
    Frontiers in Earth Science 9(2021), 791465 (10.3389/feart.2021.791465)
  • F. Chayka, I.; S. Kamenetsky, V.; V. Vladykin, N. et al.
    Origin of alkali-rich volcanic and alkali-poor intrusive carbonatites from a common parental magma
    Scientific Reports 11(2021), 17627 (10.1038/s41598-021-97014-y)
  • S. Scheingross, J.; N. Repasch, M.; Hovius, N. et al.
    The fate of fluvially-deposited organic carbon during transient floodplain storage
    Earth and Planetary Science Letters 561(2021), 116822 (10.1016/j.epsl.2021.116822)
  • Lei, Z.; Fritzsche, B.; Salikhov, R. et al.
    Magnetic separation of rare-earth ions: property database and Kelvin force distribution
    Journal of Physical Chemistry C 126(2022)4, 2226-2233 (10.1021/acs.jpcc.1c09748)
  • Knüpfer, L.; Heitkam, S.
    A machine learning approach to determine bubble sizes in foam at a transparent wall
    Measurement Science and Technology 33(2022)6, 067001 (10.1088/1361-6501/ac556c)
  • Ghamisi, P.; Rafiezadeh Shahi, K.; Duan, P. et al.
    The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14(2021), 8971-8988 (10.1109/JSTARS.2021.3108049)
  • Rafiezadeh Shahi, K.; Ghamisi, P.; Rasti, B. et al.
    Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15(2021), 284-296 (10.1109/JSTARS.2021.3132856)
  • Weber, C.; Knüpfer, P.; Buchmann, M. et al.
    A comparison between approaches for the calculation of van der Waals interactions in flotation systems
    Minerals Engineering 167(2021), 106804 (10.1016/j.mineng.2021.106804)
  • González-Poggini, S.; Luque Consuegra, G.; Kracht, W. et al.
    Electrochemical Characterization of Sulphide Minerals–Halophilic Bacteria Surface Interaction for Bioflotation Applications
    Metallurgical and Materials Transactions B 52(2021)5, 3373-3382 (10.1007/s11663-021-02267-7)
  • Xu, M.; Li, C.; Zhang, H. et al.
    A contribution to exploring the importance of surface air nucleation in froth flotation – The effects of dissolved air on graphite flotation
    Colloids and Surfaces A: Physicochemical and Engineering Aspects 633(2022), 127866 (10.1016/j.colsurfa.2021.127866)
  • Ma, T.; Hessenkemper, H.; Lucas, D. et al.
    An experimental study on the multiscale properties of turbulence in bubble-laden flows
    Journal of Fluid Mechanics 936(2022), A42 (10.1017/jfm.2022.86)
  • de La Rosa Ferna; Khodadadzadeh, M.; Tusa, L. et al.
    Mineral quantification at deposit scale using drill-core hyperspectral data: A case study in the Iberian Pyrite Belt
    Ore Geology Reviews 139(2021), 104514 (10.1016/j.oregeorev.2021.104514)
  • Pereira, L.; Frenzel, M.; Buchmann, M. et al.
    Testing the robustness of particle-based separation models for the magnetic separation of a complex skarn ore
    International Journal of Mining Science and Technology 32(2022)3, 645-655 (10.1016/j.ijmst.2022.01.008)
  • Sarma, M.; Grants, I.; Herrmannsdörfer, T. et al.
    Feasibility of using contactless electromagnetic cavitation for steel composite manufacturing
    Magnetohydrodynamics 58(2022)1, 47-54 (10.22364/mhd.58.1-2.5)
  • Jackisch, R.; Heincke, B. H.; Zimmermann, R. et al.
    Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland
    Solid Earth 13(2022)4, 793-825 (10.5194/se-13-793-2022)
  • Ryberg, T.; Kirsch, M.; Haberland, C. et al.
    Ambient seismic noise analysis of LARGE-N data for mineral exploration in the Central Erzgebirge, Germany
    Solid Earth 13(2022)3, 519-533 (10.5194/se-2021-132)
  • Kesselring, M.; Ruiz-Coupeau, S.; Kirsch, M. et al.
    Integrated Test Sites for Innovation Ecosystems
    Technology Innovation Management Review 11(2021)7/8, 20-32 (10.22215/timreview/1454)
  • Werner, D. M.; Mütze, T.; Peuker, U. A.
    Influence of cell opening methods on organic solvent removal during pretreatment in lithium-ion battery recycling
    Waste Management and Research (2022) (10.1177/0734242X211053459)
  • Hoang, D. H.; Ebert, D.; Möckel, R. et al.
    Impact of Sodium Hexametaphosphate on the Flotation of Ultrafine Magnesite from Dolomite-Rich Desliming Tailings
    Minerals 11(2021)5, 499 (10.3390/min11050499)
  • Vanderbruggen, A.; Salces, A. M.; Ferreira, A. et al.
    Improving separation efficiency in end-of-life lithium-ion batteries flotation using attrition pre-treatment
    Minerals 12(2022)1, 72 (10.3390/min12010072)
  • Simon, P.; Pompe, W.; Gruner, D. et al.
    Nested Formation of Calcium Carbonate Polymorphs in a Bacterial Surface Membrane with a graded Nanoconfinement - An Evolutionary Strategy to Ensure Bacterial Survival
    ACS Biomaterials Science & Engineering 8(2022)2, 526-539 (10.1021/acsbiomaterials.1c01280)
  • Machiels, L.; Frenzel, M.; Goldmann, D. et al.
    Preface to the Thematic Section: Mine tailings – Problem or opportunity? Towards a combined remediation and resource recovery approach
    Journal of Sustainable Metallurgy 7(2021), 1440-1443 (10.1007/s40831-021-00468-7)
  • Haschke, S.; Gutzmer, J.; Wohlgemuth-Ueberwasser, C. C. et al.
    The Niederschlag fluorite-(barite) deposit, Erzgebirge/Germany—a fluid inclusion and trace element study
    Mineralium Deposita 56(2021), 1071-1086 (10.1007/s00126-020-01035-y)
  • Swinkels, L. J.; Burisch, M.; Rossberg, C. M. et al.
    Gold and silver deportment in sulphide ores - a case study of the Freiberg epithermal Ag-Pb-Zn district, Germany
    Minerals Engineering 174(2021), 107235 (10.1016/j.mineng.2021.107235)
  • Rasti, B.; Koirala, B.; Scheunders, P. et al.
    UnDIP: Hyperspectral Unmixing Using Deep Image Prior
    IEEE Transactions on Geoscience and Remote Sensing 60(2022), 5504615 (10.1109/TGRS.2021.3067802)
  • Rasti, B.; Koirala, B.
    SUnCNN: Sparse Unmixing Using Unsupervised Convolutional Neural Network
    IEEE Geoscience and Remote Sensing Letters (2022) (10.1109/LGRS.2021.3100992)
  • Rasti, B.; Ghamisi, P.; Gloaguen, R.
    OptFus: Optical Sensor Fusion For The Classification of Multi-source Data: Application to Mineralogical Mapping
    IEEE Geoscience and Remote Sensing Letters (2022) (10.1109/LGRS.2021.3132701)
  • Rasti, B.; Chang, Y.; Dalsasso, E. et al.
    Image Restoration for Remote Sensing: Overview and Toolbox
    IEEE Geoscience and Remote Sensing Magazine (2022) (10.1109/MGRS.2021.3121761)
  • He, X.; Chen, Y.; Ghamisi, P.
    Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples
    IEEE Transactions on Geoscience and Remote Sensing 60(2021), 5502418 (10.1109/TGRS.2021.3061088)
  • Ghorbanzadeh, O.; Crivellari, A.; Ghamisi, P. et al.
    A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan)
    Scientific Reports 11(2021), 14629 (10.1038/s41598-021-94190-9)
  • Yokoya, N.; Ghamisi, P.; Hansch, R. et al.
    2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees]
    IEEE Geoscience and Remote Sensing Magazine 9(2021)1, 287 - C3 (10.1109/MGRS.2021.3055633)
  • Robinson, C.; Malkin, K.; Jojic, N. et al.
    Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14(2021), 3185-3199 (10.1109/JSTARS.2021.3063849)
  • Winardhi, C. W.; Da Assuncao Godinho, J. R.; Rachmawati, C. et al.
    A particle-based approach to predict the success and selectivity of leaching processes
    Hydrometallurgy 211(2022), 105869 (10.1016/j.hydromet.2022.105869)
  • Yue, J.; Fang, L.; Rahmani, H. et al.
    Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification
    IEEE Transactions on Geoscience and Remote Sensing 60(2021), 5501813 (10.1109/TGRS.2021.3057768)
  • Shahabi, H.; Maryam, R.; Sepideh, T. P. et al.
    Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery
    Remote Sensing 13(2021)22, 4698 (10.3390/rs13224698)
  • Xie, H.; Chen, Y.; Ghamisi, P.
    Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint
    Remote Sensing 13(2021)13, 2566 (10.3390/rs13132566)
  • Skibińska, K.; Huang, M.; Mutschke, G. et al.
    On the electrodeposition of conically nano-structured Nickel layers assisted by a capping agent
    Journal of Electroanalytical Chemistry 904(2021), 115935 (10.1016/j.jelechem.2021.115935)
  • Thiele, S. T.; Bnoulkacem, Z.; Lorenz, S. et al.
    Mineralogical Mapping with Accurately Corrected Shortwave Infrared Hyperspectral Data Acquired Obliquely from UAVs
    Remote Sensing 14(2022)1, 5 (10.3390/rs14010005)
  • Ouimet, F.; Tolosana Delgado, R.
    Asymptotic properties of Dirichlet kernel density estimators
    Journal of Multivariate Analysis 187(2022), 104832 (10.1016/j.jmva.2021.104832)
  • Bragg, A.; Liao, Y.; Fröhlich, J. et al.
    Assessment of the validity of a log-law for wall-bounded turbulent bubbly flows
    International Journal of Heat and Fluid Flow 91(2021), 108857 (10.1016/j.ijheatfluidflow.2021.108857)
  • Heibeck, M.; Rudolph, M.; Modler, N. et al.
    Characterizing material liberation of multi-material lightweight structures from shredding experiments and finite element simulations
    Minerals Engineering 172(2021), 107142 (10.1016/j.mineng.2021.107142)
  • Balinski, A.; Recksiek, V.; Stoll, M. et al.
    Liberation and separation of valuable components from LED modules: presentation of two innovative approaches
    Recycling 7(2022)3, 26 (10.3390/recycling7030026)
  • Hernandez, J. N. C.; Link, G.; Schubert, M. et al.
    Modeling of the effective permittivity of open-cell ceramic foams inspired by Platonic solids
    Materials 14(2021), 7446 (10.3390/ma14237446)
  • Liao, Y.; Ma, T.
    Study on bubble-induced turbulence in pipes and containers with Reynolds-stress models
    Experimental and Computational Multiphase Flow 4(2022), 121-132 (10.1007/s42757-021-0128-0)
  • Booysen, R.; Lorenz, S.; Thiele, S. T. et al.
    Accurate hyperspectral imaging of mineralised outcrops: An example from lithium-bearing pegmatites at Uis, Namibia
    Remote Sensing of Environment (2021), 112790 (10.1016/j.rse.2021.112790)
  • Xiao, J.; Yan, H.; Schubert, M. et al.
    Effect of Nozzle Geometry on Centerline Gas Holdup in Submerged Gas Injection
    Metallurgical and Materials Transactions B (2021) (10.1007/s11663-021-02315-2)
  • Parra Ramirez, M. A.; Reinecke, S.; Skouteris, G. et al.
    Energy Flexibility Chances for the Wastewater Treatment Plant of the Benchmark Simulation Model 1
    Processes 9(2021), 1854 (10.3390/pr9101854)
  • Mohseni, E.; Chiamulera, M.; Reinecke, S. et al.
    Bubble formation from sub-millimeter orifices: experimental analysis and modeling
    Chemical Engineering and Processing: Process Intensification 173(2022), 108809 (10.1016/j.cep.2022.108809)
  • Boelens, P.; Lei, Z.; Drobot, B. et al.
    High-Gradient Magnetic Separation of Compact Fluorescent Lamp Phosphors: Elucidation of the Removal Dynamics in a Rotary Permanent Magnet Separator
    Minerals 11(2021)10, 1116 (10.3390/min11101116)
  • Shi, P.; Rzehak, R.; Lucas, D. et al.
    Drag and lift forces on a rigid sphere immersed in a wall-bounded linear shear flow
    Physical Review Fluids 6(2021), 104309 (10.1103/PhysRevFluids.6.104309)
  • Herrmann-Heber, R.; Ristau, F.; Mohseni, E. et al.
    Experimental Oxygen Mass Transfer Study of Micro-perforated Diffusers
    Energies 14(2021)21, 7268 (10.3390/en14217268)
  • Voudouris, P.; Repstock, A.; Spry, P. G. et al.
    Physicochemical constraints on indium-, tin-, germanium-, gallium-, gold-, and tellurium-bearing mineralizations in the Pefka and St Philippos polymetallic vein- and breccia-type deposits, Greece
    Ore Geology Reviews 140(2022), 104348 (10.1016/j.oregeorev.2021.104348)
  • Guilcher, M.; Albert, R.; Gerdes, A. et al.
    Timing of native metal-arsenide (Ag-Bi-Co-Ni-As±U) veins in continental rift zones – In situ U-Pb geochronology of carbonates from the Erzgebirge/Krušné Hory province
    Chemical Geology 584(2021), 120476 (10.1016/j.chemgeo.2021.120476)
  • Ma, T.; Ott, B.; Fröhlich, J. et al.
    Scale-dependent anisotropy, energy transfer and intermittency in bubble-laden turbulent flows
    Journal of Fluid Mechanics 927(2021), A16 (10.1017/jfm.2021.760)
  • Schmidt, A.; Montenegro, V.; Reuter, M. et al.
    CFD Study on the Physical Behavior of Flue Dust within an Industrial-Scale Copper Waste Heat Boiler
    Metallurgical and Materials Transactions B 53(2022)537, 547 (10.1007/s11663-021-02389-y)
  • Schmidt, A.; Montenegro, V.; Reuter, M. et al.
    Development of a three-dimensional CFD Model for the Estimation of Accretion Formation in an Industrial-Scale Copper Waste Heat Boiler
    World of Metallurgy - Erzmetall 74(2021)5, 270-276
  • Banari, A.; Henry, C.; Fank Eidt, R. H. et al.
    Evidence of collision-induced resuspension of microscopic particles from a monolayer deposit
    Physical Review Fluids 6(2021)8, L082301 (10.1103/PhysRevFluids.6.L082301)
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