Hickel, T.; Nazarov, R.; Neugebauer, J.: Aspekte der Wasserstoffversprödung von Stählen: Verständnisgewinn durch quantenmechanische Simulationen. AKE Workshop, DECHEMA, Frankfurt a. M, Germany (2013)
Dey, P.; Nazarov, R.; Friák, M.; Hickel, T.; Neugebauer, J.: kappa-carbides as precipitates in austenitic steels: Ab initio study of structural, magnetic and Interface properties. EUROMAT 2013, Sevilla, Spain (2013)
Dutta, B.; Körmann, F.; Dey, P.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends for phase transitions in magnetic shape memory alloys. Weekly Seminar, Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Dutta, B.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends in magnetic shape memory alloys. Mini Workshop on Lattice Dynamics, Uppsala University, Uppsala, Sweden (2013)
Dutta, B.; Hickel, T.; Neugebauer, J.: Phase transitions in magnetic shape memory alloys: Ab-initio based prediction of chemical trends. Fourth International Conference on Ferromagnetic Shape Memory Alloys (ICFSMA'13), Boise, ID, USA (2013)
Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.-P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Nanoscale Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances