Python package for eigenchannels, vibrations and inelastic electron transport based on SIESTA/TranSIESTA DFT
- Updated
Jul 29, 2024 - Python
Python package for eigenchannels, vibrations and inelastic electron transport based on SIESTA/TranSIESTA DFT
GUI for running simulations with universal machine learning interatomic potentials (MACE, CHGNet, SevenNet, Nequix, ORB, MatterSim, UPET))
Monte Carlo simulator of phonon and heat transport in nanostructures
Python program for analyzing the output files of phonopy.
A Python package for numerical quantum mechanics of chain-like systems based on tensor trains
TISH solver in Julia by discretisation, combined with a deformation potential estimate of Electron-Phonon coupling
Efficiently compute off-resonance Raman spectra from first principles calculations (e.g. VASP) using polynomial models and machine learning..
Python code to simulate phonon transport in nanodevices using the Monte Carlo method from ab-initio phonon data.
Automatic Differentiation of Interatomic Potentials with Phonons in Julia: ADIP².jl
Collection of scripts for running phonon calculations using machine-learned interatomic potentials
Converts anisotropic displacement parameters to different parametrizations and can also handle Phonopy output.
Generalized 2D phonon transport using a Monte Carlo method
Collection of codes for the discipline Solid State Electronics
An AMReX-enabled model for ballistic phonon transport. Built upon FHDeX, a library for stochastic hybrid models and algorithms for fluid dynamics.
Code for the long-range 1-electron-2-phonon spectral function, accompanies Phys. Rev. B 111, 184320 (2025)
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