This study conducted high-throughput screening(HTS) of 12,020 MOFs using random forest assistance, combined with SHAP analysis. It identified KCO2, O%, and ASA as positive descriptors for adsorption performance, while TDU and Density showed negative correlations. Subsequently, six MOFS with the best performance were selected (DUWROE, EJIDUW01, NISBEX, QUQHAM, TIDQIG, and XEHSOT). The results indicates that DUWROE represents thermodynamically dominated high-capacity materials, whose high adsorption capacity stems from larger pores and heterogeneous strong adsorption sites, but exhibits lower diffusion and local distribution selectivity, making it suitable for capacity-dominated processes such as Pressure Swing Adsorption (PSA). NISBEX, on the other hand, represents a kinetically driven, highly selective material. Its pore size distribution, achieved through precise sieving, enables excellent diffusion selectivity and molecular local enrichment. However, its adsorption capacity is limited, making it more suitable for selectivity-driven processes like membrane separation. Further research reveals that differences in adsorption energy and adsorption heat can serve as indicators for distinguishing the distribution of strong and weak adsorption sites within MOFs. This work provides clear structure-property correlation principles and selection guidelines for the rational design of MOFs tailored to diverse separation requirements.
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