日本金属学会 2020年春期(第166回)講演大会

Presentation information

General Session

11.Computational Science » Computational Science

[G] Simulation of Phase transformations and Data Science

Thu. Mar 19, 2020 1:00 PM - 3:15 PM Rm. D (W241,4th Flr., West Bldg.2)

座長:大野 宗一(北海道大学)、小泉 雄一郎(大阪大学)

2:15 PM - 2:30 PM

[154] The machine learning models in molecular dynamic simulation

*YAN LUCHUN1,2, Enoki Masanori1, Ohtani Hiroshi1 (1. IMRAM, Tohoku Univ., 2. USTB)

Keywords:AIMD、machine learning、DPMD、prediction model、liquid metal

In the present study, we evaluated the force fields and thermodynamic quantities for liquid metals by means of the machine learning method and compared the results with those by the AIMD calculation.

Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.

Password