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

<p>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.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0