Combining computational screening and machine learning to explore MOFs and COFs for methane purification
Hasan Can Gulbalkan,
Alper Uzun,
Seda Keskin
Abstract:Metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) have great potential to be used as porous adsorbents and membranes to achieve high-performance methane purification. Although the continuous increase in the number and diversity of MOFs and COFs is a great opportunity for the discovery of novel adsorbents and membranes with superior performances, evaluating such a vast number of materials in the quickest and most effective manner requires the development of computational approaches. High-th… Show more
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