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Prediction of Mechanical Properties of High-Entropy Carbide (Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C with the Use of Machine Learning Potential

Published Online: 2024-04-13

Published Print: 2024-01

Authors

Pikalova, N. S.

Balyakin, I. A.

Yuryev, A. A.

Rempel, A. A.
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Text and Data Mining valid from 2024-01-01

Version of Record valid from 2024-01-01
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Article History

Received: 1 August 2023

Revised: 16 February 2024

Accepted: 19 February 2024

First Online: 13 April 2024

CONFLICT OF INTEREST

: The authors of this work declare that they have no conflicts of interest.

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