[S3] S3.Materials Science and Technology in High-Entropy Alloys (X)(3)

[S3.31] Developing interatomic potentials for mechanical properties of multi-component alloys using machine learning technique

*Ivan Lobzenko¹, Yoshinori Shiihara², Hideki Mori³, Daisuke Matsunaka⁴, Tomohito Tsuru¹ (1. Japan Atomic Energy Agency, 2. Toyota Technological Institute, 3. College of Industrial Technology, 4. Shinshu University)

Keywords:BCC Multi-component alloys、MD with machine-learning potentials、Dislocation dynamics、Mechanical properties

By means of modeling using machine-learning potentials, the work discusses differences in mechanical properties between MoNbTa and ZrNbTa, two multi-component alloys.