Hitzemann, L.; Wei, S.; Zaefferer, S.; Raabe, D.: Redox-mediated sustainable solid-state synthesis of NiTi: An in situ study of alloying pathways and phase evolution mechanisms. Acta Materialia 314, 122337 (2026)
Nallathambi, V.; Puthussery, A. J.; Mingers, A. M.; Stuckert, R.; Olean-Oliveira, A.; Reichenberger, S.; Raabe, D.; Čolić, V.; Gault, B.; Barcikowski, S.: Controlling metastability through annealing of high-entropy nanoalloy electrocatalysts to boost performance towards the oxygen evolution reaction. Physical Chemistry Chemical Physics, p. - (2026)
Parse, H.; Belilty, D. S.; Favelukis, B.; Krämer, M.; Mingers, A. M.; Chakrabartty, S.; Eliaz, N.; Gault, B.; Raabe, D.; Sokol, M.et al.; Rosen, B. A.: Extending the electrochemical stability window of Ti3C2Tz MXenes via Ta–Hf co-substitution for durable proton exchange membrane fuel cell catalyst supports. Journal of Materials Chemistry A 14 (33), pp. 21885 - 21899 (2026)
Bu, Y.; Li, K.; Ma, Y.; Liang, Z.; Jianliang, Z.; Raabe, D.: Atomistic view of green steel: simulation of early-stage direct reduction of wüstite (FeO) by hydrogen. Chemical Engineering Science 326, 123611 (2026)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…