GPU Monte Carlo Simulation Code with a taste of RASPA
-
Updated
Aug 17, 2026 - C++
GPU Monte Carlo Simulation Code with a taste of RASPA
A framework for processing adsorption data and isotherm fitting
GOMC - GPU Optimized Monte Carlo is a parallel molecular simulation code designed for high-performance simulation of large systems
A Python package to run adsorption simulation in nanoporous materials using Machine Learning Potentials and other methods powered by ASE
Input script for Monte Carlo (GCMC) simulations
AIM (Adsorption Integrated Modules) is a collection of MATLAB based GUI modules for adsorption isotherm based fixed bed process modelling
A machine learning model based on gradient boosting decision tree for predicting heavy metal adsorption in soil.
An Active learning algorithm for multi-component adsorption prediction in MOF
BET surface area analysis from adsorption data
Fluid dynamics for chemical applications
Python module for adsorption structure generation and potential energy surface scans of molecule–surface systems using Bayesian Optimization (BOSS)-guided structure generation and MACE machine-learned potentials.
Isotherm Fitting and Adsorbed Solution Theory Calculations (IAST, RAST, VST)
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.
Repository for the paper "IntelliPore: A Foundation Model for Gas Adsorption in Porous Materials".
Fit temperature-dependent isotherms to equilibrium data.
Automatically applies betsi criteria to a group of isotherms, and doesn't give up!
AIB-21: A curated, 21-system adsorption isotherm benchmark dataset optimized for symbolic regression. Original Source: NIST Isotherm Database Modifications: The original dataset was filtered to remove data artifacts and systems lacking pressure and temperature diversity, removing 98% of the original records
Automated screening of green corrosion inhibitors: DFT/QM reactivity descriptors, an adsorption estimate, a ranking, and a self-contained HTML report, from a molecule name or SMILES and a metal. Free software only.
To associate your repository with the adsorption topic, visit your repo's landing page and select "manage topics."