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

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

*Harry Handoko Halim¹, Yoshitada Morikawa^1,2,3 (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))

Keywords:Surface Alloy, Machine Learning, Density Functional Theory, Molecular Dynamics, Cu-Zn