Alam, M.; Lymperakis, L.; Groh, S.; Neugebauer, J.: MEAM interatomic potentials of Ni, Re, and Ni–Re alloys for atomistic fracture simulations. Modelling and Simulation in Materials Science and Engineering 30 (1), 015002 (2021)
Wang, N.; Freysoldt, C.; Zhang, S.; Liebscher, C.; Neugebauer, J.: Segmentation of Static and Dynamic Atomic-Resolution Microscopy Data Sets with Unsupervised Machine Learning Using Local Symmetry Descriptors. Microscopy and Microanalysis 27 (6), pp. 1454 - 1464 (2021)
Surendralal, S.; Todorova, M.; Neugebauer, J.: Impact of Water Coadsorption on the Electrode Potential of H–Pt(1 1 1)-Liquid Water Interfaces. Physical Review Letters 126 (16), 166802 (2021)
Lochner, F.; Eremin, I. M.; Hickel, T.; Neugebauer, J.: Ab initio study of the structural response to magnetic disorder and van der Waals interactions in FeSe. Physical Review B 103 (5), 054506 (2021)
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