无形中的中距离结构秩序
Yuanbin Liu1, Yuxing Zhou1, Richard Ademuwagun1
1Inorganic Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford OX1 3QR, U.K.
Journal of the American Chemical Society
|February 26, 2026
概括
研究人员使用机器学习的原子学模拟揭示了无形 (a-As) 中的中程顺序 (MRO). 这项研究澄清了MRO.
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
- 计算化学计算化学
背景情况:
- 中距离顺序 (MRO) 在无形材料中至关重要,但人们对其了解甚少.
- 了解像 (a-As) 这样的无形元素系统中的MRO是必不可少的.
研究的目的:
- 阐明无形 (a-As) 中MRO的起源和性质.
- 为了比较a-As与无形 (a-P) 的结构特征.
- 为了研究a-As和a-P.P.的依赖压力的结构行为.
主要方法:
- 先进的原子模拟利用机器学习的潜力.
- 自动化工作流程用于导出机器学习的潜力.
- 模拟结构因子与a-As.As.实验数据的比较.
主要成果:
- 模拟准确地复制了a-As的实验结构因子,包括第一个利的衍射峰 (FSDP).
- 无形具有比无形更均的二面角分布,与连续的随机网络相一致.
- 在a-As中的FSDP与无形网络中的空格大小和分布有关.
结论:
- 这项研究提供了对无形的MRO的基本见解.
- 这些发现突显了自动机器学习对于原子模拟的实用性.
- 无形的结构最好描述为一个3倍协调的连续随机网络.
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