4.7 Article

Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional

Journal

SCIENTIFIC REPORTS
Volume 7, Issue -, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/srep44766

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Funding

  1. US Department of Energy (DOE)
  2. Office of Science, Basic Energy Sciences [DE-FG02-07ER46352]
  3. Northeastern University's Advanced Scientific Computation Center (ASCC)
  4. NERSC supercomputing center through DOE [DE-AC02-05CH11231]
  5. DOE EFRC: Center for the Computational Design of Functional Layered Materials (CCDM) [DE-SC0012575]

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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.

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