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Filip Kaśkosz

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Efficient training of machine learning potentials for metallic glasses: CuZrAl validation

Number of pages: 50 Posted: 29 Dec 2025
Antoni Wadowski, Anshul D. S. Parmar, Filip Kaśkosz, Jesper Byggmästar, Jan S. Wróbel, Mikko J. Alava and Silvia Bonfanti
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Helsinki, Warsaw University of Technology - Faculty of Materials Science and Engineering, Aalto University and affiliation not provided to SSRN
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Neuroevolution machine learning potential, Efficient database generation, Metallic glass, Cu-Zr-Al alloy, Swap Monte-Carlo