用高维度神经网络潜力研究素单空的扩散和凝聚
Lukáš Kývala1,2, Andrea Angeletti1,2, Cesare Franchini1,3
1Faculty of Physics, University of Vienna, 1090 Vienna, Austria.
The journal of physical chemistry. C, Nanomaterials and interfaces
|December 20, 2023
概括
酸中的单空位是高度移动的,主要是以齐克扎克的方向移动. 这些缺陷合并成稳定的缺口,影响这个二维材料的特性.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 计算材料科学科学 计算材料科学
背景情况:
- 缺陷显著影响二维 (2D) 材料的性能.
- 了解缺陷行为对于定制材料性能至关重要.
研究的目的:
- 研究酸中单空的扩散和凝聚机制.
- 利用先进的计算方法来模拟长时间内的缺陷动态.
主要方法:
- 使用高维神经网络潜力的分子动力学 (MD) 模拟.
- 使用密度函数理论 (DFT) 数据进行替代模型的培训和验证.
- 微秒尺度模拟以捕捉长时间尺度缺陷行为.
主要成果:
- 酸中的单空空间表现出高度的移动性,偏好沿着齐克扎克方向移动.
- 扩散途径与空位跳跃计算的能量障碍相一致.
- 单间空隙凝聚在一起形成更稳定的,不那么移动的二间空隙,可能通过中间状态.
结论:
- 神经网络的潜力使得准确,成本效益高,并延长了2D材料中缺陷动态的时间模拟.
- 描述了酸中单空的移动性和凝聚性行为,为缺陷进化提供了洞察力.
- 这些发现有助于对酸的缺陷工程进行潜在应用的基本理解.
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