Automate Quantum Espresso routines
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Updated
Jul 5, 2023 - Python
Automate Quantum Espresso routines
PROPhet is a code to integrate machine learning techniques with first-principles quantum chemistry approaches
A compressive-shear biaxial stress field model for analyzing the anisotropic mechanical behavior of crystal (Developed based on Python).
Ab initio calculation of the fully-relativistic electronic band structure of the group 14 monolayers using Quantum ESPRESSO
A Julia-Python interface of https://github.com/MineralsCloud/qha
Ab initio calculation of the spin Hall conductivity in topological insulators using Quantum ESPRESSO and Wannier90 codes.
This repository contains several ground state Density Functional Theory (DFT) calculations within the framework of Quantum Espresso of various bi-layers of 2D Transition Metal Dichalcogenides as their potential use as nano energy generators along with their electronic structures and structural stability calculations.
A open-source program for computing the first-order resonance Raman spectroscopy based on Quantum ESPRESSO
Extended DeepH (xDeepH) method for magnetic materials.
Open-source first-principles computational toolkit for the efficient calculation of the strength of materials in 1D, 2D, and 3D materials at both zero and finite temperatures
A code for generating irreducible site-occupancy configurations
This repository contains example codes for the book: Quantum ESPRESSO Course for Solid‑State Physics, Jenny Stanford Publishing, New York, 372 Pages (2022) by N. T. Hung, A. R. T. Nugraha and R. Saito.
The quasiparticle self-consistent GW method in the PMT method (LAPW+LMTO+Lo).
Notes and tutorials on Density Functional Theory calculation using Quantum Espresso.
Deep neural networks for density functional theory Hamiltonian.
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