A Python package for performing pore network modeling of porous media
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Updated
Mar 1, 2026 - Python
A Python package for performing pore network modeling of porous media
A set of tools for characterizing and analyzing 3D images of porous materials
GPU Monte Carlo Simulation Code with a taste of RASPA
An ecosystem for digital reticular chemistry
Tutorial repository of introduction to porous materials using MATLAB
A fast and accurate model to estimate DFT quality partial atomic charges of periodic materials
pywindow is a Python package for structural analysis of discrete molecules with voids and windows, individually, in molecular systems and molecular dynamics trajectories of these.
A python package that takes XCT images of porous materials and generates representative digital twin micromodels
cavity shape and size mapping by growing a guest inside a host
Code Implementation of Deep Generative Design of Porous Organic Cages via a Variational Autoencoder
Acoustic design exploration and material property identification for porous structures
Python package for parallel calculation of energy voxels.
Code and data of the article "Random Auxetic Porous Materials from Parametric Growth Processes"
Streamline adsorption modeling by automatically fitting theoretical adsorption models to empirical isotherm data and by training a machine learning model on adsorption isotherms from the NIST and ARPA-E databases to predict uptake as a function of pressure.
Fortran code for the diagenetic model by Ivan L'Heureux 2018 (https://doi.org/10.1155/2018/4968315)
Repository for the publication "Minimal crystallographic descriptors of sorption properties in hypothetical MOFs and role in sequential learning optimization"
A tool for rapid estimation of transport properties of 3D images of porous materials
A 3D ConvNet for Reticular Chemistry.
VPVT method demonstration: A novel bio-inspired porous structure optimally-design method
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