原子单位
曲面重建
材料科学
各向异性
格子(音乐)
凝聚态物理
从头算
从头算量子化学方法
分子物理学
曲面(拓扑)
物理
光学
几何学
分子
声学
数学
量子力学
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2022-10-05
卷期号:8 (40)
被引量:49
标识
DOI:10.1126/sciadv.abq2900
摘要
The origin of the herringbone reconstruction on Au(111) surface has never been explained properly at the atomic level because the large periodic length (~30 nm) does not allow ab initio simulations of the system and because of the lack of highly accurate empirical force field. We trained a machine learning force field with high accuracy to explore this reconstruction. Our study shows that the lattice deformation in Au deeper layers, which allows the effective relaxation of the densified and anisotropic top layer lattice, is critical for the herringbone reconstruction. The herringbone reconstruction is energetically more favorable than the stripe reconstruction only if the slab thickness exceeds 12 atomic layers. Furthermore, we reveal the high stability of herringbone reconstruction at high temperatures and that a slight strain of about ±0.2% can induce a transition from the herringbone pattern to the stripe pattern, and both agree well with the experimental observations.
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