IVC-22

講演情報

Parallel Sessions

Data-driven materials science and process informatics

[Mon-I2] Data-driven materials science and process informatics

2022年9月12日(月) 15:30 〜 17:30 Room I (Meeting Room 201+202)

17:00 〜 17:15

[Mon-I2-6] Award Applied
The Elucidation of Cu-Zn Surface Alloying on Cu(997) by Machine-Learning Molecular Dynamics

*Harry Handoko Halim1, Yoshitada Morikawa1,2,3 (1. Department of Precision Engineering, Graduate School of Engineering, Osaka University (Japan), 2. Elements Strategy Initiative for Catalysts and Batteries (ESICB), Kyoto University (Japan), 3. Research Center for Precision Engineering, Graduate School of Engineering, Osaka University (Japan))

キーワード:Surface Alloy, Machine Learning, Density Functional Theory, Molecular Dynamics, Cu-Zn

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