首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional
  • 本地全文:下载
  • 作者:I. G. Buda ; C. Lane ; B. Barbiellini
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2017
  • 卷号:7
  • 期号:1
  • DOI:10.1038/srep44766
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:We discuss self-consistently obtained ground-state electronic properties of monolayers of graphene and a number of 'beyond graphene' compounds, including films of transition-metal dichalcogenides (TMDs), using the recently proposed strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation (meta-GGA) to the density functional theory. The SCAN meta-GGA results are compared with those based on the local density approximation (LDA) as well as the generalized gradient approximation (GGA). As expected, the GGA yields expanded lattices and softened bonds in relation to the LDA, but the SCAN meta-GGA systematically improves the agreement with experiment. Our study suggests the efficacy of the SCAN functional for accurate modeling of electronic structures of layered materials in high-throughput calculations more generally.
国家哲学社会科学文献中心版权所有