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Predicting Two-Dimensional Boron–Carbon Compounds by the Global Optimization Method

Open access
Luo, Xinyu, Yang, Jihui, Liu, Hanyu, Wu, Xiaojun, Wang, Yanchao, Ma, Yanming, Wei, Su-Huai, Gong, Xingao, Xiang, Hongjun·2011·Journal of the American Chemical Society

Abstract

We adopt a global optimization method to predict two-dimensional (2D) nanostructures through the particle-swarm optimization (PSO) algorithm. By performing PSO simulations, we predict new stable structures of 2D boron-carbon (B-C) compounds for a wide range of boron concentrations. Our calculations show that: (1) All 2D B-C compounds are metallic except for BC(3) which is a magic case where the isolation of carbon six-membered ring by boron atoms results in a semi-conducting behavior. (2) For C-rich B-C compounds, the most stable 2D structures can be viewed as boron doped graphene structures, where boron atoms typically form 1D zigzag chains except for BC(3) in which boron atoms are uniformly distributed. (3) The most stable 2D structure of BC has alternative carbon and boron ribbons with strong in-between B-C bonds, which possesses a high thermal stability above 2000 K. (4) For B-rich 2D B-C compounds, there is a novel planar-tetracoordinate carbon motif with an approximate C(2)(v) symmetry.

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Metadata

Authors
Luo, X., Yang, J., Liu, H., Wu, X., Wang, Y., Ma, Y., Wei, S.-H., Gong, X., & Xiang, H.
Venue
Journal of the American Chemical Society
Published
2011-09-19
Volume
133
Issue
40
Pages
16285-16290
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2068505200
Cited by
284
References
3
FWCI
7.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Predicting Two-Dimensional Boron–Carbon Compounds by the Global Optimization Method. https://app.cochat.ai/papers/10.1021/ja2072753
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Luo, X., Yang, J., Liu, H., Wu, X., Wang, Y., Ma, Y., Wei, S.-H., Gong, X., & Xiang, H. (2011). Predicting Two-Dimensional Boron–Carbon Compounds by the Global Optimization Method. Journal of the American Chemical Society. https://doi.org/10.1021/ja2072753

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