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Electron–phonon physics from first principles using the EPW code

Journal Article · · npj Computational Materials
 [1];  [2];  [3];  [4];  [5];  [5];  [5];  [6];  [7];  [8];  [8];  [9];  [5];  [10];  [3];  [11];  [3];  [8];  [5]
  1. Univ. of Texas, Austin, TX (United States); OSTI
  2. Universite Catholique de Louvain, Louvain-la-Neuve (Belgium)
  3. Univ. of Michigan, Ann Arbor, MI (United States)
  4. Univ. at Buffalo, NY (United States); State Univ. of New York (SUNY), Binghamton, NY (United States)
  5. Univ. of Texas, Austin, TX (United States)
  6. Seoul National Univ. (Korea, Republic of)
  7. King’s College, London (United Kingdom); Istituto Italiano di Tecnologia (IIT), Genova (Italy)
  8. Univ. of New York (SUNY), Binghamton, NY (United States)
  9. Univ. of Texas, Austin, TX (United States); University of Macau, Macao (China)
  10. Univ. of Rennes, INSA Rennes, Centre National de la Recherche Scientifique (CNRS) (France). Institut FOTON-UMR 6082
  11. King’s College, London (United Kingdom)

EPW is an open-source software for ab initio calculations of electron–phonon interactions and related materials properties. The code combines density functional perturbation theory and maximally localized Wannier functions to efficiently compute electron–phonon coupling matrix elements, and to perform predictive calculations of temperature-dependent properties and phonon-assisted quantum processes in bulk solids and low-dimensional materials. Here, we report on significant developments in the code since 2016, namely: a transport module for the calculation of charge carrier mobility under electric and magnetic fields using the Boltzmann transport equation; a superconductivity module for calculations of phonon-mediated superconductors using the anisotropic multi-band Eliashberg theory; an optics module for calculations of phonon-assisted indirect transitions; a module for the calculation of small and large polarons without supercells; and a module for calculating band structure renormalization and temperature-dependent optical spectra using the special displacement method. For each capability, we outline the methodology and implementation and provide example calculations.

Research Organization:
Univ. of Texas, Austin, TX (United States); Krell Institute, Ames, IA (United States); Univ. of California, Oakland, CA (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF); National Science Foundation (NSF); Fund for Scientific Research (F.R.S.–FNRS)
Grant/Contract Number:
SC0020129; SC0020347; AC02-05CH11231; AC02-06CH11357
OSTI ID:
2421437
Journal Information:
npj Computational Materials, Journal Name: npj Computational Materials Journal Issue: 1 Vol. 9; ISSN 2057-3960
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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