CTCycle/ADSMOD-Adsorption-Modeling

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.

37
/ 100
Emerging
No Package No Dependents
Maintenance 13 / 25
Adoption 3 / 25
Maturity 9 / 25
Community 12 / 25

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3

Forks

1

Language

Python

License

MIT

Category

molecular-generation-transformers

Last pushed

Mar 12, 2026

Commits (30d)

0

GitHub
Molecular Generation Transformers · 19 models

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