Schneider, A.; Fu, C.-C.; Waseda, O.; Barreteau, C.; Hickel, T.: Ab initio based models for temperature-dependent magnetochemical interplay in bcc Fe–Mn alloys. Physical Review B 103 (2), 024421 (2021)
Waseda, O.: Machine-Learning assisted Heisenberg model for systems with ill-defined magnetic interactions. Thermec 2018 Conference, Paris, France (2018)
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
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…