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Predicting Two-Dimensional Boron鈥揅arbon Compounds by the Global Optimization Method
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文摘
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鈥揷arbon (B鈥揅) compounds for a wide range of boron concentrations. Our calculations show that: (1) All 2D B鈥揅 compounds are metallic except for BC3 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鈥揅 compounds, the most stable 2D structures can be viewed as boron doped graphene structures, where boron atoms typically form 1D zigzag chains except for BC3 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鈥揅 bonds, which possesses a high thermal stability above 2000 K. (4) For B-rich 2D B鈥揅 compounds, there is a novel planar-tetracoordinate carbon motif with an approximate C2v symmetry.

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