日本金属学会2024年秋期(第175回)講演大会

Presentation information

公募シンポジウム講演

[S4] S4.Materials DX for the research and development of structural materials for extreme environment (II)(1)

Wed. Sep 18, 2024 10:30 AM - 11:50 AM Room H (A202 2nd floor Building A Center for Education in Liberal Arts and Sciences)

座長:吉見 享祐(東北大学)

11:10 AM - 11:30 AM

[S4.2] ANNA: An open-source platform for developing artificial neural networks assistant potential enabling high accurate and efficient MD simulation

*MENG ZHANG1, Junya Inoue1 (1. The University of Tokyo)

Keywords:Potential training platform、Artificial neural networks assistant potential、High accurate、High performance、Atomic simulation

An open-source package (ANNA) was developed to train the artificial neural network assistant potential, which is a novel potential and shows high accuracy and performance for MD simulation.