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Porous Materials Python Packages

Python packages with the GitHub topic porous-materials. Sorted by relevance, with stars and monthly downloads.
PMEAL
openpnm

A Python package for performing pore network modeling of porous media

18K 530 187
PMEAL
porespy

A set of tools for characterizing and analyzing 3D images of porous materials

12K 405 115
andrewtarzia
spindry

Low-cost host-guest conformer generation

4K 1 0
mtap-research
pacman-charge

Partial Atomic Charges for Porous Materials based on Graph Convolutional Neural Network (PACMAN)

2K 31 2
kjappelbaum
mofdscribe

An ecosystem for digital reticular chemistry

511 53 9
adosar
retnext

A lightweight package for deep learning on 3D energy images of porous materials

311 1 1
adosar
pymoxel

Python package for parallel calculation of energy voxels.

304 7 4
andrewtarzia
poremapper

cavity shape and size mapping by growing a guest inside a host

254 9 1
PMEAL
openpnm-test

A framework for conducting pore network modeling simulations of multiphase transport in porous materials

169 530 187
EMSL-Computing
pore2chip

A package that takes 3D images of porous materials and generates representative micromodels

155 13 5
    • Data from PyPI, GitHub, ClickHouse, and BigQuery