Source_Data_NCOMMS-23-07118.xlsx
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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).
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Zhang, Di创建时间：
2023-11-20
