EPIq : an open-source software for the calculation of electron-phonon interaction related properties
arXiv:2306.15462 · doi:10.1016/j.cpc.2023.108950
Abstract
EPIq (Electron-Phonon wannier Interpolation over k and q-points) is an open-source software for the calculation of electron-phonon interaction related properties from first principles.Acting as a post-processing tool for a density-functional perturbation theory code ( Quantum ESPRESSO ) and wannier90, EPIq exploits the localization of the deformation potential in the Wannier function basis and the stationary properties of a force-constant functional with respect to the first-order perturbation of the electronic charge density to calculate many electron-phonon related properties with high accuracy and free from convergence issues related to Brillouin zone sampling. EPIq features includes: the adiabatic and non-adiabatic phonon dispersion, superconducting properties (including the superconducting band gap in the Migdal-Eliashberg formulation), double-resonant Raman spectra and lifetime of excited carriers. The possibility to customize most of its input makes EPIq a versatile and interoperable tool. Particularly relevant is the interaction with the Stochastic Self-Consistent Harmonic Approximation (SSCHA) allowing anharmonic effects to be included in the calculation of electron-properties. The scalability offered by the Wannier representation combined with a straightforward workflow and easy-to-read input and output files make EPIq accessible to the wide condensed matter and material science communities.
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- Superconductor discovery in the emerging paradigm of Materials Informatics
- Magnetism-Enhanced Strong Electron-Phonon Coupling in Infinite-Layer Nickelate
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- Variational formulation of dynamical electronic response functions in presence of nonlocal exchange interactions
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- Light-Induced Transient Polarization Reversal in Rhombohedrally Stacked Bilayer Transition Metal Dichalcogenides via an Electronic Mechanism
- Generalized deformation potential and machine-learning approaches for electron-phonon coupling and thermoelectric transport in semiconductors