Molecular dynamics study on magnesium hydride nanoclusters with machine-learning interatomic potential

已取消 20 由 ttang 发布于 2025/11/20 14:25:28

DOI:10.1103/PhysRevB.102.094111
文献类型：期刊论文
补充材料：仅需补充材料
文献链接：https://doi.org/10.1103/PHYSREVB.102.094111
管理员驳回:官网显示无补充材料

American Physical Society (APS)

Abstract：We introduce a machine-learning (ML) interatomic potential for Mg-H system based on Behler-Parrinello approach. In order to fit the complex bonding conditions in the cluster structure, we co

应助信息

2025-11-20

Book学术机器人

2025/11/20 14:25:28 未找到该文献，机器人已退出，请等待人工下载

2025/11/20 14:25:28 Book学术AI机器人收到请求，开始寻找文献

2025/11/20 14:25:28 已向机器人发送请求

2025-11-20

ttang 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:SageMechanical durability and electrical durability of an aluminium-laminated lithium-ion polymer battery pack for a hybrid electric vehicle