Revealing stable geometries and magic clusters of hexagonal boron nitride in the nucleation of chemical vapor deposition growth on Ni(111)/Cu(111) surfaces: a theoretical study

文献信息

发布日期 2020-01-22
DOI 10.1039/C9CP06425G
影响因子 3.676
作者

Hongxia Zhu, Xiaolei Zhao, Huanhuan Li


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摘要

To improve the quality of chemical vapor deposition (CVD)-prepared hexagonal boron nitride (h-BN), it is essential to understand the growth mechanism, particularly to learn the structures as well as their stabilities and kinetic evolutions of the formed clusters in the initial growth stage. Herein, we performed systematic studies on the stabilities of various geometries of different-/identical-sized BN clusters on (111) surfaces of Ni and Cu by density functional theory simulations. The results show that the stable configurations of different-sized clusters are those containing the most normal hexagons composed with alternate B and N atoms. There exist ultra-stable magic clusters on the (111) surfaces of both the metals. On Ni(111), the geometries of the magic clusters are composed of hexagons arranged in the core–shell structure, while they contain tetragons on the Cu(111) surface. The ultra-high stabilities of the magic clusters can be attributed to the comprehensive effect from the core–shell structure, high symmetry, edged atoms, and adsorption sites. The stable geometries of different-sized clusters as well as magic clusters present the vital roles of metal substrates in CVD-synthesis of h-BN and provide instructive information in improving the quality of h-BN by selecting appropriate metal substrates.

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来源期刊

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
自引率: 10.3%
年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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