Efficient band gap prediction of semiconductors and insulators from a semilocal exchange-correlation functional

Bikash Patra, Subrata Jana, Lucian A. Constantin, and Prasanjit Samal
Phys. Rev. B 100, 045147 – Published 29 July 2019

Abstract

A semilocal exchange-correlation functional is proposed with the efficient prediction of the solid-state band gap. The underlying construction of the exchange functional is based on the modeling of the exchange hole and constructing the exchange energy functional. Being a meta-generalized gradient approximation (meta-GGA) level functional, it holds the key feature of the derivative discontinuity through the generalized Kohn-Sham (gKS) formalism. We validate our construction by demonstrating the functional performance for solid-state band gaps and comparing it with the other meta-GGA and hybrid functionals. It is shown that for the semiconductors having narrow, and moderate band gaps, as well as for layered materials the present functional performs as accurately as (or comparable to) the expensive hybrid functional, while for wide-band gap solids, it outperforms the hybrid functional. This indicates that the present functional holds promise for the multiscale modeling of materials with a very low computational cost. Also, the underlying construction is practically very useful as it can be easily implemented in any density functional platform that supports the gKS formalism.

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  • Received 5 April 2019
  • Revised 14 June 2019

DOI:https://doi.org/10.1103/PhysRevB.100.045147

©2019 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied PhysicsAtomic, Molecular & Optical

Authors & Affiliations

Bikash Patra1,*, Subrata Jana1,†, Lucian A. Constantin2,‡, and Prasanjit Samal1,§

  • 1School of Physical Sciences, National Institute of Science Education and Research, HBNI, Bhubaneswar 752050, India
  • 2Center for Biomolecular Nanotechnologies @UNILE, Istituto Italiano di Tecnologia, Via Barsanti, I-73010 Arnesano, Italy

  • *bikash.patra@niser.ac.in
  • subrata.jana@niser.ac.in; subrata.niser@gmail.com
  • lucian.constantin@iit.it
  • §psamal@niser.ac.in

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Issue

Vol. 100, Iss. 4 — 15 July 2019

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