A deep learning package for many-body potential energy representation and molecular dynamics
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Updated
Nov 5, 2025 - Python
A deep learning package for many-body potential energy representation and molecular dynamics
Python Suite for Advanced General Ensemble Simulations
A toolkit featured artificial intelligence × ab initio for computational chemistry research.
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.
Generating Deep Potential with Python
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
Collection of python functions to work with aiida, pymatgen and VASP. Designed to speed up input setup and output analysis.
build, analyse and visualise atomistic structures for materials science
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