A plugin to AiiDA for running simulations with VASP
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Updated
Apr 6, 2026 - Python
A plugin to AiiDA for running simulations with VASP
AiiDA plugin of the high-performance density functional theory code FLEUR (www.judft.de) for high-throughput electronic structure calculations.
doped is a Python software for the generation, pre-/post-processing and analysis of defect supercell calculations, implementing the defect simulation workflow in an efficient, reproducible, user-friendly yet powerful and fully-customisable manner.
Automated computational workflows based on the MPDS data platform using the CRYSTAL first-principles engine
Yet another cloud computing scheduler for the high-throughput cloud scientific simulations
Defect structure-searching employing chemically-guided bond distortions
Band structure unfolding made easy!
Ab initio full cell dynamical mean-field theory (DMFT) and GW+DMFT for solids
Collection of python functions to work with aiida, pymatgen and VASP. Designed to speed up input setup and output analysis.
Quantum dynamics package based on tensor network states
Semiemperical quasiharmonic thermal elasticity
TorchTDSCHA is a PyTorch-accelerated package for simulating out-of-equilibrium quantum dynamics in crystalline materials with quartic potential energy surfaces.
AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.
Identify electronic allostery in ab-initio molecular dynamics simulations.
A Python package for calculating thermodynamic properties under quasi-harmonic approximation, using data from ab-initio calculations
Extract patterns from ab-initio molecular dynamics simulations using machine learning.
Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
A library of density matrix embedding theory (DMET).
The Dark Matter Ab initio maGnon/phonon Interaction Calculator (DarkMAGIC) is a python package for computing DM interaction rates with collective excitations based on ab initio calculations of material properties.
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