Demonstrates the modeling of gas adsorption in metal-organic frameworks using machine learning, suggesting improved simulation techniques.
Metal-organic frameworks (MOFs) are porous materials with the potential for gas adsorption and separation technologies due to their tunable structural and chemical characteristics. However, simulating gas adsorption isotherms in MOFs...
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Jin et al. (2026) studied this question.
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