• 文献标题:   An open-source code to generate carbon nanotube/graphene junctions
  • 文献类型:   Article
  • 作  者:   ZHANG H, REN ZC, YE C, DONG YL
  • 作者关键词:   carbon nanotube, graphene, junction generation, algorithm, open source code
  • 出版物名称:   COMPUTATIONAL MATERIALS SCIENCE
  • ISSN:   0927-0256 EI 1879-0801
  • 通讯作者地址:   Univ Akron
  • 被引频次:   0
  • DOI:   10.1016/j.commatsci.2018.01.020
  • 出版年:   2018

▎ 摘  要

Carbon nanotube (CNT)/graphene nanostructure has the potential to extend the superior mechanical, thermal, and electrical properties of graphene from two dimensions to three. While the theoretical investigation of CNT/graphene nanostructure based on atomistic modeling is garnering great attention, an open-source numerical tool to generate covalently bonded CNT/graphene junctions is still in lack for material scientists. In this work, a pathfinding algorithm is used to exhaust all possible configurations on graphene to seamlessly connect to a given CNT. The least squares approach method follows to sort out the configuration with minimum energy. The combined methods are able to generate CNT/graphene junction for any CNT type (m, n). Molecular dynamics simulation further reveals that the formed junctions are thermodynamically stable, and thus ready to serve as basic block for a CNT/graphene network. By providing an easy-to-use numerical tool in the form of MATLAB code, the intention is to free material scientists from the tedious preparation of atomic configuration. (C) 2018 Elsevier B.V. All rights reserved.