A machine-learning implementation that learns generalizable, interpretable models connecting polymer chemistry to membrane gas permeability.
-
Updated
Jun 1, 2025 - Python
#
gas-separation
Here are 6 public repositories matching this topic...
gas-conditioned message passing graph neural network for permeability prediction in polymer membranes
machine-learning active-learning graph-neural-networks gas-separation polymeric-membranes hydrocarbon-separation out-of-training-prediction
-
Updated
Jun 25, 2026 - Python
PyMemSim-Agent is a harness-neutral instruction and workflow repository for AI-assisted chemical-engineering membrane simulation.
chemical-engineering process-simulation process-modeling membrane gas-separation hollow-fiber-membrane
-
Updated
Jul 14, 2026 - Python
A Python toolkit for modeling, simulation, and optimization of membrane-based gas separation processes.
-
Updated
Jul 13, 2026 - Python
Fine-tuned Llama-3 model for generating random chemically valid MOFid for CH4/N2 gas separation performance prediction for hackathon
-
Updated
Jun 29, 2024 - Jupyter Notebook
Calculator written in Python to calculate dimensions of a separator for separation of oil and gas with user inputted parameters.
-
Updated
Dec 8, 2024 - Python
Add this topic to your repo
To associate your repository with the gas-separation topic, visit your repo's landing page and select "manage topics."