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.


Objectives

  • 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


Collaborations


Contacts


Publications

  • Hassanzadehmahaleh, A.; Azizi, A. A.; Masdarian, M. A. et al.
    Parametric optimization in rougher flotation performance of a sulfidized mixed copper ore
    Minerals 10(2020)8, 1-19 (10.3390/min10080660)
  • Booysen, R.; Jackisch, R.; Lorenz, S. et al.
    Detection of REEs with lightweight UAV-based hyperspectral imaging.
    Scientific Reports 10(2020)1, 17450 (10.1038/s41598-020-74422-0)
  • Contreras Acosta, I. C.; Khodadadzadeh, M.; Tolosana Delgado, R. et al.
    Drill-Core Hyperspectral and Geochemical Data Integration in a Superpixel-Based Machine Learning Framework
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13(2020), 4214-4228 (10.1109/JSTARS.2020.3011221)
  • Jackisch, R.; Lorenz, S.; Kirsch, M. et al.
    Integrated Geological and Geophysical Mapping of a Carbonatite-Hosting Outcrop in Siilinjärvi, Finland, Using Unmanned Aerial Systems
    Remote Sensing 12(2020)18, 2998 (10.3390/rs12182998)
  • Ditscherlein, R.; Furat, O.; de Langlard, M. et al.
    Multiscale Tomographic Analysis for Micron-Sized Particulate Samples
    Microscopy and Microanalysis 26(2020)4, 676-688 (10.1017/S1431927620001737)
  • Smith, A. J. B.; Beukes, N. J.; Gutzmer, J. et al.
    Life on a Mesoarchean marine shelf – insights from the world’s oldest known granular iron formation
    Scientific Reports 10(2020)1, 10519 (10.1038/s41598-020-66805-0)
  • Balinski, A.; Kelly, N.; Helbig, T. et al.
    Separation of aluminium and iron from lanthanum - a comparative study of solvent extraction and hydrolysis-precipitation
    Minerals 10(2020)6, 556 (10.3390/min10060556)
  • Belo Fernandes, I.; Abadias Llamas, A.; Reuter, M.
    A simulation-based exergetic analysis of NdFeB permanent magnet production to understand large systems
    JOM: The Journal of the Minerals, Metals & Materials Society 72(2020)7, 2754-2769 (10.1007/s11837-020-04185-6)
  • Jackisch, R.
    Drone-based surveys of mineral deposits
    Nature Reviews Earth & Environment 1(2020)4, 187 (10.1038/s43017-020-0042-1)
  • Bru, K.; Sousa, R.; Machado Leite, M. et al.
    Pilot-scale investigation of two Electric Pulse Fragmentation (EPF) approaches for the mineral processing of a low-grade cassiterite schist ore
    Minerals Engineering 150(2020), 160270 (10.1016/j.mineng.2020.106270)
  • Kupka, N.; Babel, B. M.; Rudolph, M.
    The Potential Role of Colloidal Silica as a Depressant in Scheelite Flotation
    Minerals 10(2020)2, 144 (10.3390/min10020144)
  • Kupka, N.; Möckel, R.; Rudolph, M.
    Acidified water glass in the selective flotation of scheelite from calcite, Part I: performance and impact of the acid type
    Physicochemical Problems of Mineral Processing 56(2020)2, 238-251 (10.37190/ppmp19101)
  • Oriolo, S.; Schulz, B.; Gonzalez, P. D. et al.
    The Late Paleozoic tectonometamorphic evolution of Patagonia revisited: Insights from the pressure-temperature-deformation-time (P-T-D-t) path of the Gondwanide basement of the North Patagonian Cordillera (Argentina)
    Tectonics 38(2019)7, 2378-2400 (10.1029/2018TC005358)
  • Godefroy-Rodríguez, M.; Hagemann, S.; Frenzel, M. et al.
    Laser ablation ICP-MS trace element systematics of hydrothermal pyrite in gold deposits of the Kalgoorlie district, Western Australia
    Mineralium Deposita 55(2020), 823-844 (10.1007/s00126-020-00958-w)
  • Frenzel, M.; Cook, N. J.; Ciobanu, C. L. et al.
    Halogens in hydrothermal sphalerite record origin of ore-forming fluids
    Geology 48(2020)8, 766-770 (10.1130/G47087.1)
  • Wetterich, S.; Rudaya, N.; Kuznetsov, V. et al.
    Ice Complex formation on Bol’shoy Lyakhovsky Island (New Siberian Archipelago, East Siberian Arctic) since about 200 ka
    Quaternary Research 92(2019)2, 530-548 (10.1017/qua.2019.6)
  • Kiani, M.; Du, N.; Vogel, M. et al.
    Disturbing-free determination of yeast concentration in DI water and in glucose using impedance biochips
    Biosensors 10(2020)1, 7 (10.3390/bios10010007)
  • Kern, M.; Kästner, J.; Tolosana Delgado, R. et al.
    Correction to. The inherent link between ore formation and geometallurgy as documented by complex tin mineralization at the Hämmerlein deposit (Erzgebirge, Germany)
    Mineralium Deposita 54(2019), 699 (10.1007/s00126-019-00874-8)
  • Xu, S.; Li, J.; Khodadadzadeh, M. et al.
    Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(2019)4, 1265-1278 (10.1109/JSTARS.2019.2903940)
  • Koirala, B.; Khodadadzadeh, M.; Contreras Acosta, I. C. et al.
    A Supervised Method for Nonlinear Hyperspectral Unmixing
    Remote Sensing 11(2019)20, 2458 (10.3390/rs11202458)
  • Tusa, L.; Kern, M.; Khodadadzadeh, M. et al.
    Evaluating the performance of hyperspectral short-wave infrared sensors for the pre-sorting of complex ores using machine learning methods
    Minerals Engineering 146(2020), 106150 (10.1016/j.mineng.2019.106150)
  • Tusa, L.; Andreani, L.; Khodadadzadeh, M. et al.
    Mineral Mapping and Vein Detection in Hyperspectral Drill-Core Scans: Application to Porphyry-Type Mineralization
    Minerals 9(2019)122 (10.3390/min9020122)
  • Chen, Y.; Wang, Y.; Gu, Y. et al.
    Deep Learning Ensemble for Hyperspectral Image Classification
    IEEE Transactions on Geoscience and Remote Sensing 12(2019)6, 1882-1897 (10.1109/JSTARS.2019.2915259)
  • Chen, Y.; Zhu, K.; Zhu, L. et al.
    Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
    IEEE Transactions on Geoscience and Remote Sensing 57(2019)9, 7048-7066 (10.1109/TGRS.2019.2910603)
  • Da Assuncao Godinho, J. R.; Kern, M.; Renno, A. et al.
    Volume quantification in interphase voxels of ore minerals using 3D imaging
    Minerals Engineering 14(2019), 106016 (10.1016/j.mineng.2019.106016)
  • Li, S.; Song, W.; Fang, L. et al.
    Deep Learning for Hyperspectral Image Classification: An Overview
    IEEE Transactions on Geoscience and Remote Sensing 57(2019)9, 6690-6709 (10.1109/TGRS.2019.2907932)
  • Hang, R.; Liu, Q.; Hong, D. et al.
    Cascaded Recurrent Neural Networks for Hyperspectral Image Classification
    IEEE Transactions on Geoscience and Remote Sensing 57(2019)8, 5384-5394 (10.1109/TGRS.2019.2899129)
  • Bing, T.; Nanying, L.; Leyuan, F. et al.
    Hyperspectral Image Classification with Multi-Scale Feature Extraction
    Remote Sensing 11(2019)5, 534 (10.3390/rs11050534)
  • Booysen, R.; Zimmermann, R.; Lorenz, S. et al.
    Towards multiscale and multisource remote sensing mineral exploration using RPAS: A case study in the Lofdal Carbonatite-Hosted REE Deposit, Namibia
    Remote Sensing 11(2019)21, 2500 (10.3390/rs11212500)
  • Pospiech, S.; Tolosana Delgado, R.; van den Boogaart, K. G.
    Discriminant Analysis for Compositional Data Incorporating Cell-wise Uncertainties
    Mathematical Geosciences (2020) (10.1007/s11004-020-09878-x)
  • Sharma, S.; Beyer, J.; Gloaguen, R. et al.
    Non-quenching photoluminescence emission up to at least 865 K upon near-UV excitation in a single crystal of orange-red emitting SmPO4
    Physical Chemistry Chemical Physics 21(2019)46, 25669-25677 (10.1039/C9CP05663G)
  • Velázquez-Martinez, O.; van den Boogaart, K. G.; Lundström, M. et al.
    On the Use of Statistical Entropy Analysis as Assessment Parameter for the Comparison of Lithium-Ion Battery Recycling Processes
    Batteries 5(2019), 41 (10.3390/batteries5020041)
  • Palacios, J.-L.; Abadias Llamas, A.; Valero, A. et al.
    The energy needed to concentrate minerals from common rocks: the case of copper ore
    Energy 181(2019), 494-503 (10.1016/j.energy.2019.05.145)
  • Palacios, J.-L.; Abadias Llamas, A.; Valero, A. et al.
    Producing metals from common rock: the case of gold
    Resources, Conservation and Recycling 148(2019), 23-35 (10.1016/j.resconrec.2019.04.026)
  • Obiso, D.; Kriebitzsch, S.; Reuter, M. et al.
    The importance of viscous and interfacial forces in the hydrodynamics of the Top-Submerged-Lance furnace
    Metallurgical and Materials Transactions B 50(2019)5, 2403-2402 (10.1007/s11663-019-01630-z)
  • Velázquez-Martínez, J. V.; Santasalo-Aarnio, A.; Reuter, M. et al.
    A Critical Review of Lithium-Ion Battery Recycling Processes from a Circular Economy Perspective
    Batteries 5(2019), 68 (10.3390/batteries5040068)
  • Abadias Llamas, A.; Bartie, N. J.; Heibeck, M. et al.
    Simulation-based exergy analysis of large circular economy systems: Zinc production coupled to CdTe photovoltaic module life cycle
    Journal of Sustainable Metallurgy 6(2020)1, 34-67 (10.1007/s40831-019-00255-5)
  • Luque Consuegra, G.; Kutschke, S.; Rudolph, M. et al.
    Halophilic bacteria as potential pyrite bio-depressants in Cu-Mo bioflotation
    Minerals Engineering 145(2020), 106062 (10.1016/j.mineng.2019.106062)
  • Atanasova, P.; Marks, M. A. W.; Frenzel, M. et al.
    Fractionation of geochemical twins (Zr/Hf, Nb/Ta and Y/Ho) and HREE-enrichment during magmatic and metamorphic processes in peralkaline nepheline syenites from Norra Kärr (Sweden).
    Lithos 372-373(2020), 105667 (10.1016/j.lithos.2020.105667)
  • Schulz, B.; Merker, G.; Gutzmer, J.
    Automated SEM Mineral Liberation Analysis (MLA) with Generically Labelled EDX Spectra in the Mineral Processing of Rare Earth Element Ores
    Minerals 9(2019)9, 527 (10.3390/min9090527)
  • Kirsch, M.; Lorenz, S.; Zimmermann, R. et al.
    Hyperspectral outcrop models for palaeoseismic studies
    The Photogrammetric Record 34(2019)168, 385-407 (10.1111/phor.12300)
  • Ali, A. M.; Darvishzadeh, R.; Rafiezadeh Shahi, K. et al.
    Validating the Predictive Power of Statistical Models in Retrieving Leaf Dry Matter Content of a Coastal Wetland from a Sentinel-2 Image
    Remote Sensing 11(2019)16, 1936 (10.3390/rs11161936)
  • Heincke, B.; Jackisch, R.; Saartenoja, A. et al.
    Developing multi-sensor drones for geological mapping and mineral exploration: setup and first results from the MULSEDRO project
    Geological Survey of Denmark and Greenland Bulletin 43(2019), e2019430302 (10.34194/GEUSB-201943-03-02)
  • Horckmans, L.; Möckel, R.; Nielsen, P. et al.
    Multi-analytical characterization of slags to determine the chromium concentration for a possible re-extraction
    Minerals 9(2019)10, 646 (10.3390/min9100646)
  • Lakoma, P.; Ditze, A.; Scharf, C.
    Dendritic structure formation of magnesium alloys for the manipulation of corrosion properties: Part 2-corrosion
    International Journal of Materials Research 110(2019)8, 703-714 (10.3139/146.111790)
  • Jackisch, R.; Madriz Diaz, Y. C.; Zimmermann, R. et al.
    Drone-Borne Hyperspectral and Magnetic Data Integration: Otanmäki Fe-Ti-V Deposit in Finland
    Remote Sensing 11(2019)18, 2084 (10.3390/rs11182084)
  • Münchhalfen, M.; Schreuer, J.; Reuther, C. et al.
    Order/disorder processes and electromechanical properties of monoclinic GdCa4O(BO3)3
    Zeitschrift für Kristallographie 234(2019)11-12, 707-724 (10.1515/zkri-2019-0026)
  • Da Assuncao Godinho, J. R.; Ma, L.; Chai, Y. et al.
    Mineral Precipitation in Fractures and Nanopores within Shale Imaged Using Time-Lapse X-ray Tomography
    Minerals 9(2019)8, 480 (10.3390/min9080480)
  • Michaux, B.; Hannula, J.; Rudolph, M. et al.
    Study of process water recirculation in a flotation plant by means of process simulation
    Minerals Engineering 148(2020), 106181 (10.1016/j.mineng.2020.106181)
  • Kupka, N.; Tolosana Delgado, R.; Schach, E. et al.
    R as an environment for data mining of process mineralogy data: A case study of an industrial rougher flotation bank
    Minerals Engineering 146(2020), 106111 (10.1016/j.mineng.2019.106111)
  • Contreras Acosta, I. C.; Khodadadzadeh, M.; Tusa, L. et al.
    A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion
    IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(2020)12, 4829-4842 (10.1109/JSTARS.2019.2924292)
  • Sharma, S.; Köhler, T.; Beyer, J. et al.
    Extending the temperature sensing range using Eu3+ luminescence up to 865 K in a single crystal of EuPO4
    Physical Chemistry Chemical Physics 21(2019)29, 16329-16336 (10.1039/C9CP03501J)
  • Schach, E.; Buchmann, M.; Tolosana Delgado, R. et al.
    Multidimensional characterization of separation processes – Part 1: Introducing kernel methods and entropy in the context of mineral processing using SEM-based image analysis
    Minerals Engineering 137(2019), 78-86 (10.1016/j.mineng.2019.03.026)
  • Sharma, S. K.; Bettinelli, M.; Carrasco, I. et al.
    Dynamics of Charges in Superlong Blacklight-Emitting CaB2O4:Ce3+ Persistent Phosphor
    Journal of Physical Chemistry C 123(2019)23, 14639-14646 (10.1021/acs.jpcc.9b02210)
  • Balinski, A.; Atanasova, P.; Wiche, O. et al.
    Selective leaching of rare earth elements (REEs) from eudialyte concentrate after sulfation and thermal decomposition of non-REE sulfates
    Minerals 9(2019)9, 522 (10.3390/min9090522)
  • Wu, H.; Böttger, R.; Couffignal, F. et al.
    ‘Box-Profile’ Ion Implants as Geochemical Reference Materials for Electron Probe Microanalysis and Secondary Ion Mass Spectrometry
    Geostandards and Geoanalytical Research 43(2019)4, 531-541 (10.1111/ggr.12282)
  • Lorenz, S.; Seidel, P.; Ghamisi, P. et al.
    Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach using Spatio-Spectral Feature Extraction
    Sensors 19(2019), 2787 (10.3390/s19122787)
  • Owens, C. L.; Schach, E.; Heinig, T. et al.
    Surface nanobubbles on the rare earth fluorcarbonate mineral synchysite
    Journal of Colloid and Interface Science 552(2019), 66-71 (10.1016/j.jcis.2019.05.014)
  • Seidel, P.; Lorenz, S.; Heinig, T. et al.
    Fast 2D laser-induced fluorescence spectroscopy mapping of rare earth elements in rock samples
    Sensors 19(2019), 2219 (10.3390/s19102219)
  • Reuter, M. A.; Palacios, J.-L.; Fernandes, I. et al.
    Avoided energy cost of producing minerals: The case of iron ore
    Energy Reports 5(2019), 364-374 (10.1016/j.egyr.2019.03.004)
  • Schönberger, N.; Zeitler, C.; Braun, R. et al.
    Directed Evolution and Engineering of Gallium-Binding Phage Clones—A Preliminary Study
    Biomimetics 4(2019), 35 (10.3390/biomimetics4020035)
  • Bachmann, K.; Menzel, P.; Tolosana-Delgado, R. et al.
    Multivariate geochemical classification of chromitite seams in the Bushveld Complex, South Africa
    Applied Geochemistry 130(2019), 106-117 (10.1016/j.apgeochem.2019.02.009)
  • Kaufmann, F. E. D.; Hoffmann, M. C.; Bachmann, K. et al.
    Variations in Composition, Texture, and Platinum Group Element Mineralization in the Lower Group and Middle Group Chromitites of the Northwestern Bushveld Complex, South Africa
    Economic Geology 114(2019)3, 569-590 (10.5382/econgeo.4641)
  • Rasti, B.; Ghamisi, P.; Ulfarsson, M. O.
    Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis
    Remote Sensing 11(2019)2, 121 (10.3390/rs11020121)
  • He, X.; Wang, A.; Ghamisi, P. et al.
    LiDAR Data Classification Using Spatial Transformation and CNN
    IEEE Geoscience and Remote Sensing Letters 16(2019)1, 125-129 (10.1109/LGRS.2018.2868378)
  • Reuter, M. A.; van den Boogaart, K. G.; Lundströma, M. et al.
    Statistical entropy analysis as tool for circular economy: Proof of concept by optimizing a lithium-ion battery waste sieving system
    Journal of Cleaner Production 212(2019), 1568-1579 (10.1016/j.jclepro.2018.12.137)
  • Hoang, D. H.; Hassanzadeh, A.; Peuker, U. A. et al.
    Impact of flotation hydrodynamics on the optimization of fine-grained carbonaceous sedimentary apatite ore beneficiation
    Powder Technology 345(2019), 223-233 (10.1016/j.powtec.2019.01.014)
  • Da Assuncao Godinho, J. R.; Chellappah, K.; Collins, I. et al.
    Time-lapse imaging of particle invasion and deposition in porous media using in situ X-ray radiography
    Journal of Petroleum Science and Engineering 177(2019), 384-391 (10.1016/j.petrol.2019.02.061)
  • Reuter, M.; van Schaik, A.; Gutzmer, J. et al.
    Challenges of the Circular Economy: A Material, Metallurgical, and Product Design Perspective
    Annual Review of Materials Research 49(2019), 253-274 (10.1146/annurev-matsci-070218-010057)
  • Hoang, D. H.; Heitkam, S.; Kupka, N. et al.
    Froth properties and entrainment in lab-scale flotation: A case of carbonaceous sedimentary phosphate ore
    Chemical Engineering Research and Design 142(2019), 100-110 (10.1016/j.cherd.2018.11.036)
  • Balinski, A.; Wiche, O.; Kelly, N. et al.
    Separation of rare earth elements from contaminants and valuable components by in situ precipitation during hydrometallurgical processing of eudialyte concentrate
    Hydrometallurgy 194(2020), 105345 (10.1016/j.hydromet.2020.105345)
  • Babel, B.; Rudolph, M.
    Technical note: Co-localized (colloidal probe) atomic force microscopy / Raman spectroscopy measurements for floatability characterization
    Minerals Engineering 141(2019), 105838 (10.1016/j.mineng.2019.105838)
  • Babel, B.; Rudolph, M.
    Fast preparation and recycling method for colloidal probe cantilevers in hydrophobic mapping applications
    MethodsX 6(2019), 651-659 (10.1016/j.mex.2019.03.010)
  • Furat, O.; Leißner, T.; Bachmann, K. et al.
    Stochastic Modeling of Multidimensional Particle Properties Using Parametric Copulas
    Microscopy and Microanalysis 25(2019)3, 720-734 (10.1017/S1431927619000321)
  • Schönberger, N.; Braun, R.; Matys, S. et al.
    Chromatopanning for the identification of gallium binding peptides
    Journal of Chromatography A 1600(2019), 158-166 (10.1016/j.chroma.2019.04.037)
  • Burisch, M.; Gerdes, A.; Meinert, L. et al.
    The essence of time – fertile skarn formation in the Variscan Orogenic Belt
    Earth and Planetary Science Letters 519(2019), 165-170 (10.1016/j.epsl.2019.05.015)
  • Gutzmer, J.; Markl, G.
    An introduction to the thematic issue on “Ore deposits in the Variscan basement of Central Europe”
    Mineralium Deposita (2019) (10.1007/s00126-018-0860-y)
  • Balinski, A.; Atanasova, P.; Wiche, O. et al.
    Recovery of REEs, Zr(+Hf), Mn and Nb by H2SO4 leaching of eudialyte concentrate
    Hydrometallurgy 186(2019), 176-186 (10.1016/j.hydromet.2019.04.007)
  • Hassanzadehmahaleh, A.; Azizi, A.; Kouachi, S. et al.
    Estimation of flotation rate constant and particle-bubble interactions considering key hydrodynamic parameters and their interrelations
    Minerals Engineering 141(2019), 105836 (10.1016/j.mineng.2019.105836)
  • Kern, M.; Tusa, L.; Leißner, T. et al.
    Optimal sensor selection for sensor-based sorting based on automated mineralogy data
    Journal of Cleaner Production 234(2019), 1144-1152 (10.1016/j.jclepro.2019.06.259)
  • Kern, M.; Kästner, J.; Tolosana-Delgado, R. et al.
    The inherent link between ore formation and geometallurgy as documented by complex tin mineralization at the Hämmerlein deposit (Erzgebirge, Germany)
    Mineralium Deposita 54(2019)5, 683-698 (10.1007/s00126-018-0832-2)
  • Ostendorf, J.; Henjes-Kunst, F.; Seifert, T. et al.
    Age and genesis of polymetallic veins in the Freiberg district, Erzgebirge, Germany: constraints from radiogenic isotopes
    Mineralium Deposita 54(2019), 217-236 (10.1007/s00126-018-0841-1)
  • Jain, R.; Fan, S.; Kaden, P. et al.
    Recovery of gallium from wafer fabrication industry wastewaters by Desferrioxamine B and E using reversed-phase chromatography approach
    Water Research 158(2019) (10.1016/j.watres.2019.04.005)
  • Bauer, M. E.; Burisch, M.; Ostendorf, J. et al.
    Trace element geochemistry of sphalerite in contrasting hydrothermal fluid systems of the Freiberg district, Germany: insights from LA-ICP-MS analysis, near-infrared light microthermometry of sphalerite-hosted fluid inclusions, and sulfur isotope geochemistry
    Mineralium Deposita 54(2019)2, 237-262 (10.1007/s00126-018-0850-0)
  • Frenzel, M.; Bachmann, K.; Carvalho, J. R. S. et al.
    The geometallurgical assessment of by-products - Geochemical proxies for the complex mineralogical deportment of indium at Neves-Corvo, Portugal
    Mineralium Deposita 54(2019)7, 959-982 (10.1007/s00126-018-0849-6)
  • Abadías Llamas, A.; Reuter, M. A.; Valero Capilla, A. et al.
    Simulation-based exergy, thermo-economic and environmental footprint analysis of primary copper production
    Minerals Engineering 131(2019), 51-65 (10.1016/j.mineng.2018.11.007)
  • Matys, S.; Schönberger, N.; Lederer, F. et al.
    Characterization of specifically metal-binding phage clones for selective recovery of cobalt and nickel
    Journal of Environmental Chemical Engineering 8(2020)2, 103606 (10.1016/j.jece.2019.103606)
  • Michaux, B.; Hannula, J.; Rudolph, M. et al.
    Water-saving strategies in the mining industry – the potential of mineral processing simulators as a tool for their implementation
    Journal of Environmental Management 234(2019), 546-553 (10.1016/j.jenvman.2018.11.139)
  • Tiessen, C.; Bemmerer, D.; Rugel, G. et al.
    Accelerator mass spectrometry (AMS) for beryllium-7 measurements in smallest rainwater samples
    Journal of Radioanalytical and Nuclear Chemistry 319(2019)3, 965-973 (10.1007/s10967-018-6371-6)
  • Pavetich, S.; Wallner, A.; Martschini, M. et al.
    Accelerator mass spectrometry measurement of the reaction ³⁵Cl(n,gamma)³⁶Cl at keV energies
    Physical Review C 99(2019), 015801 (10.1103/PhysRevC.99.015801)
  • Talebi, H.; Mueller, U.; Tolosana-Delgado, R. et al.
    Surficial and deep earth material prediction from geochemical compositions - a spatial predictive model
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