Journal
JOURNAL OF PHYSICAL CHEMISTRY C
Volume 124, Issue 3, Pages 2024-2029Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.9b10511
Keywords
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Funding
- MOST [2016YFA0200604]
- NSFC [21825302, 21903076, 21872100, 21573156]
- Anhui Provincial Natural Science Foundation [1908085QB81]
- Taishan Scholar Program of Shandong Province of China [tsqn201909122]
- USTCSCC, SCCAS, Tianjin Supercomputer Center
- USTCSCC, SCCAS, Guangzhou Supercomputer Center
- USTCSCC, SCCAS, Shanghai Supercomputer Center
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Blue phosphorus (BlueP) is predicted as a new two-dimensional allotrope of black phosphorus with a great potential in electronic device applications. Recently, the growth of BlueP on Au(1 1 1) surface has been demonstrated by several groups. However, there is still a controversy surrounding the exact structure of BlueP on Au(1 1 1). Herein, by combining the stochastic surface walking (SSW) global optimization algorithm and a neural network potential, we successfully identify the structure model of BlueP on Au(1 1 1), which is consistent with all recent experimental observations. It turns out that what has been grown on Au(1 1 1) in recent experiments is a single-layer structure composed of Au atom-connected BlueP fragments. As a substrate to grow BlueP, the Au(1 1 1) surface suffers from the too strong Au-P interaction. Possible ways to grow continuous single layer BlueP are suggested.
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