A deep learning package for many-body potential energy representation and molecular dynamics
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Updated
Apr 19, 2026 - Python
A deep learning package for many-body potential energy representation and molecular dynamics
Python Suite for Advanced General Ensemble Simulations
A command line and python toolkit featured artificial intelligence × ab initio for complex chemistry systems research.
Generating Deep Potential with Python
pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
Highly configurable 2D (SVG) & 3D (threejs) visualisations for ASE/Pymatgen structures, within the Jupyter Notebook.
Updated version of Chris Mohler's python-fu script, to import ASE (Kuler, Color CC) palettes into GIMP
🔧 Python package for 3rd/4th-order force constant calculation via finite displacement method, with ML potential support & thermal disorder generation.
Collection of python functions to work with aiida, pymatgen and VASP. Designed to speed up input setup and output analysis.
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