採択課題 【詳細】
| jh260078 | Machine Learning-Driven Multi-Scale Simulations for Green Catalysis Design |
|---|---|
| 課題代表者 | 森川良忠(大阪大学 大学院工学研究科) Yoshitada Morikawa (Graduate School of Engineering) |
| 概要 | This research aims to develop Machine Learning Interatomic Potentials (MLIPs) integrated with multi-scale simulations to optimally design the heterogeneous catalysts, focusing on CO2 hydrogenation to methanol. The advantage is manifold due to the utilization of CO2 as green-house gas as well as the production of methanol as green energy resource. |
| 関連Webページ | |
| 報告書等 | 研究紹介ポスター ／ 最終報告書 |
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