npj Computational Materials (Jun 2023)

Range-separated hybrid functionals for accurate prediction of band gaps of extended systems

  • Jing Yang,
  • Stefano Falletta,
  • Alfredo Pasquarello

DOI
https://doi.org/10.1038/s41524-023-01064-x
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 9

Abstract

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Abstract In this work, we systematically evaluate the accuracy in band gap prediction of range-separated hybrid functionals on a large set of semiconducting and insulating materials and carry out comparisons with the performance of their global counterparts. We observe that all the range-separated hybrid functionals that correctly describe the long-range dielectric screening significantly improve upon standard hybrid functionals such as PBE0 and HSE06. The choice of the short-range Fock exchange fraction and the screening length can further reduce the predicted error. We then propose a universal expression for the selection of the inverse screening parameter as a function of the short-range and long-range Fock exchange fractions, which results in a mean absolute error as small as 0.15 eV for band gap prediction.