Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and MOFs using Machine Learning

Dataset containing different physical properties and gas loading capacity inside carbon molecular sieving membrane (CMSM) and metal organic frameworks (MOF). The physical properties of the adsorbent frameworks are used to train neural network (NN) and XGBoost machine learning models to accurately predict the gas loadings. This dataset corresponds to the publication, "Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and MOFs using Machine Learning", Subhadeep Dasgupta, Amal RS, Prabal K Maiti.