Bajaj, P.; Hariharan, A.; Kini, A.; Kürnsteiner, P.; Raabe, D.; Jägle, E. A.: Steels in additive manufacturing: A review of their microstructure and properties. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 772, 138633 (2020)
Massey, C. P.; Hoelzer, D. T.; Edmondson, P. D.; Seibert, R. L.; Kini, A.; Gault, B.; Terrani, K. A.; Zinkle, S. J.: OFrac: An advanced nanostructured ferritic alloy fuel cladding for fast reactors. AISTech 2018 Iron and Steel Technology Conference and Exposition, Pennsylvania Convention Center, Philadelphia, PA, USA, May 07, 2018 - May 10, 2018. AISTech - Iron and Steel Technology Conference Proceedings 2018-May, pp. 1433 - 1435 (2018)
Massey, C. P.; Hoelzer, D. T.; Edmondson, P. D.; Seibert, R. L.; Kini, A.; Gault, B.; Terrani, K. A.; Zinkle, S. J.: Ofrac: An advanced nanostructured ferritic alloy fuel cladding for fast reactors. 2018 Transactions of the American Nuclear Society, ANS 2018 and Embedded Topical Meeting Nuclear Fuels and Structural Materials, Marriott Philadelphia Downtown, Philadelphia, PA; USA, June 17, 2018 - June 21, 2018. Transactions of the American Nuclear Society 118, pp. 1433 - 1435 (2018)
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…