34th IUPAP Conference on Computational Physics(CCP2023)

Presentation information

Contributed talks (Machine learning/Quantum computing)

Machine learning, data science, and quantum computing

Parallel session 1

Sun. Aug 6, 2023 1:40 PM - 3:20 PM 301 (Room 2) (3F)

Chair: Nobuyasu Ito (RIKEN R-CCS)

3:00 PM - 3:20 PM

[C06-1-05] Schemes of Training Machine-Learning Interatomic Potential for Application to Molecular Dynamics Simulations with Higher Accuracy

*Kohei Shimamura1, Ayu Irie1, Daisuke Wakabayashi2,3, Akihide Koura1, Fuyuki Shimojo1 (1. Department of Physics, Kumamoto University (Japan), 2. Institute of Materials Structure Science, High Energy Accelerator Research Organization (Japan), 3. Department of Materials Structure Science, Graduate University for Advanced Studies (Japan))

On-demand video

Keywords:Machine-Learning Interatomic Potential, Molecular Dynamics, Free Energy, Themal Conductivity, First-Principles Calculation

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