Realizing the data-driven, computational discovery of metal-organic framework catalysts
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DOI: 10.1016/j.coche.2021.100760
Abstract: Metal–organic frameworks (MOFs) have been widely investigated for challenging catalytic transformations due to their well-defined structures and high degree of synthetic tunability. These features, at least in principle, make MOFs ideally suited for a computational… read more here.
Keywords: metal organic; data driven; discovery; driven computational ... See more keywords