[A1-P304] Poster 304

[A1-P304-07] Artificial-neural-network potential for accurately predicting grain boundary thermodynamics

*Tatsuya Yokoi¹, Maya Matsuura¹, Yu Ogura¹, Katsuyuki Matsunaga^1,2 (1. Nagoya Univ. (Japan), 2. Japan Fine Ceramics Center (Japan))

Keywords:Machine-learning interatomic potential, Density-functional-theory calculation, Grain boundary, Thermodynamics