Two-dimensional silicon monolayers generated on c-BN(111) substrate

Literature Information

Publication Date 2015-05-22
DOI 10.1039/C5CP01601K
Impact Factor 3.676
Authors

Yan Qian, Shaohua Lu, Erjun Kan, Ruifeng Lu, Kaiming Deng, Hui Wang, Yanming Ma


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Abstract

Silicene, a buckled two-dimensional honeycomb structure of silicon, has been experimentally synthesized on very few substrates. Furthermore, synthesizing silicene with a Dirac point is another hot research area. However, only silicene grown on Ag(111) has been reported to have a Dirac point, which has lowered the expectations of researchers. Here, three Si monolayer structures, a Si chain-type structure, a two-dimensional hexagonal close packed compound structure, and a two-dimensional hexagonal close packed structure, are generated on a c-BN(111) substrate using a particle-swarm optimization algorithm implemented in CALYPSO code. Band structure calculations show that all three structures exhibit a metallic nature. In particular, due to the absolutely flat conformation of the latter two structures, a linear dispersion exists near the Fermi energy level, indicating that charge carriers can transport like massless Dirac fermions. Our results open an alternative way of searching for other two-dimensional silicon monolayers with Dirac points.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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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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