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Wang, X.; Liu, C.; Sun, B.; Ponge, D.; Jiang, C.; Raabe, D.: The dual role of martensitic transformation in fatigue crack growth. Proceedings of the National Academy of Sciences of the United States of America 119 (9), e2110139119 (2022)
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Wang, Z.; Lu, W.; Min Song, F. A.; Ponge, D.; Raabe, D.; Li, Z.; Li, Z.: High stress twinning in a compositionally complex steel of very high stacking fault energy. Nature Communications 13, 3598 (2022)
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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…