Source_Data_NCOMMS-23-07118.xlsx
收藏DataCite Commons2023-11-21 更新2024-08-18 收录
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https://figshare.com/articles/dataset/Source_Data_NCOMMS-23-07118_xlsx/24591774/1
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资源简介：
We show how an active machine-learning model effectively reveals the microscopic processes involved in substrate-catalyzed growth. Employing a combination of molecular dynamics and time-stamped Monte Carlo methods, complemented by the Gaussian Approximation Potential, we conduct detailed and fully dynamic simulations of graphene growth on Cu(111).
提供机构：
figshare
创建时间：
2023-11-20
