Theoretical prediction on thermal and mechanical properties of high entropy (Zr0.2Hf0.2Ti0.2Nb0.2Ta0.2)C by deep learning potential

标题
Theoretical prediction on thermal and mechanical properties of high entropy (Zr0.2Hf0.2Ti0.2Nb0.2Ta0.2)C by deep learning potential
作者
关键词
High entropy ceramics, Machine learning potential, Thermal properties, Mechanical properties, Molecular dynamics, Simulation
出版物
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
Volume 43, Issue -, Pages 168-174
出版商
Elsevier BV
发表日期
2020-01-06
DOI
10.1016/j.jmst.2020.01.005

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