Loading…

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

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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of the American Chemical Society 2011-10, Vol.133 (40), p.16285-16290
Main Authors: Luo, Xinyu, Yang, Jihui, Liu, Hanyu, Wu, Xiaojun, Wang, Yanchao, Ma, Yanming, Wei, Su-Huai, Gong, Xingao, Xiang, Hongjun
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 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–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 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–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.
ISSN:0002-7863
1520-5126
DOI:10.1021/ja2072753