Srinivas Varanasi, R.; Waseda, O.; Syed, F. W.; Prithiv, T. S.; Gault, B.; Neugebauer, J.; Ponge, D.: Temperature and misorientation-dependent austenite nucleation at ferrite grain boundaries in a medium manganese steel: role of misorientation-dependent grain boundary segregation. Acta Materialia 296, 121242 (2025)
Zhu, L.-F.; Körmann, F.; Chen, Q.; Selleby, M.; Neugebauer, J.; Grabowski, B.: Accelerating ab initio melting property calculations with machine learning: application to the high entropy alloy TaVCrW. npj Computational Materials 10 (1), 274 (2024)
Yang, J.; Todorova, M.; Neugebauer, J.: Comparative analysis of surface phase diagrams in aqueous environment: Implicit vs explicit solvation models. The Journal of Chemical Physics 160 (16), 164715 (2024)
Scientists at the Max Planck Institute for Sustainable Materials have developed a carbon-free, energy-saving method to extract nickel for batteries, magnets and stainless steel.
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