High-entropy carbide (Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C mechanical properties prediction with the use of machine learning potential
- Authors: Pikalova N.S.1, Balyakin I.A.1,2, Yuryev A.A.1, Rempel A.A.1
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Affiliations:
- Institute of Metallurgy, Ural Branch of the Russian Academy of Sciences
- NANOTECH Centre, Ural Federal University
- Issue: Vol 514, No 1 (2024)
- Pages: 65-71
- Section: PHYSICAL CHEMISTRY
- URL: https://rjmseer.com/2686-9535/article/view/651922
- DOI: https://doi.org/10.31857/S2686953524010073
- ID: 651922
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