Author

Sheng-Ling Ma

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Preprint Aug 2026

Discovering Physically Interpretable Mathematical Expression for Predicting CO2 Adsorption in Metal-Organic Frameworks via Machine Learning-Symbolic Regression

This work presents a machine learning-symbolic regression strategy to develop a physically interpretable formula for predicting low pressure CO2 adsorption capacity in hypothetical metal-organic frameworks (hMOFs), and proposes a physics-guided expression that enables efficient prediction and provides clearer insight i...

Yimin Shao, Sheng-Ling Ma, Sheng-Hong Ju et al. · 0 citations