Quantum Monte Carlo calculations of energy gaps from first principles

R. J. Hunt, M. Szyniszewski, G. I. Prayogo, R. Maezono, and N. D. Drummond
Phys. Rev. B 98, 075122 – Published 13 August 2018

Abstract

We review the use of continuum quantum Monte Carlo (QMC) methods for the calculation of energy gaps from first principles, and present a broad set of excited-state calculations carried out with the variational and fixed-node diffusion QMC methods on atoms, molecules, and solids. We propose a finite-size-error correction scheme for bulk energy gaps calculated in finite cells subject to periodic boundary conditions. We show that finite-size effects are qualitatively different in two-dimensional materials, demonstrating the effect in a QMC calculation of the band gap and exciton binding energy of monolayer phosphorene. We investigate the fixed-node errors in diffusion Monte Carlo gaps evaluated with Slater-Jastrow trial wave functions by examining the effects of backflow transformations, and also by considering the formation of restricted multideterminant expansions for excited-state wave functions. For several molecules, we examine the importance of structural relaxation in the excited state in determining excited-state energies. We study the feasibility of using variational Monte Carlo with backflow correlations to obtain accurate excited-state energies at reduced computational cost, finding that this approach can be valid. We find that diffusion Monte Carlo gap calculations can be performed with much larger time steps than are typically required to converge the total energy, at significantly diminished computational expense, but that in order to alleviate fixed-node errors in calculations on solids the inclusion of backflow correlations is sometimes necessary.

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  • Received 13 June 2018

DOI:https://doi.org/10.1103/PhysRevB.98.075122

©2018 American Physical Society

Physics Subject Headings (PhySH)

Condensed Matter, Materials & Applied Physics

Authors & Affiliations

R. J. Hunt1,*, M. Szyniszewski1, G. I. Prayogo2, R. Maezono2,3, and N. D. Drummond1

  • 1Department of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom
  • 2Japan Advanced Institute of Science and Technology (JAIST), School of Information Science, Asahidai 1-1, Nomi, Ishikawa 923-1292, Japan
  • 3Computational Engineering Applications Unit, RIKEN, 2–1 Hirosawa, Wako, Saitama 351-0198, Japan

  • *r.hunt4@lancaster.ac.uk

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Issue

Vol. 98, Iss. 7 — 15 August 2018

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