A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks.

Sci Rep · 2025 · PMC11761476 · PMID 39856195

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moderately significantno p-value reported

3 , the sulfur adsorption time had the most vital link with adsorption capacity of the MOFs, with a moderately significant R 2 of 0.43 being observed.

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