Proposed non-empirical catalyst design strategy (IMAGE)
Caption
300 quaternary catalysts are randomly sampled from a large material space, where their performance in relation to OCM is systematically evaluated by high-throughput experimentation, followed by machine learning, to identify a bias-free dataset in order to learn the underlying patterns in catalyst performance which are eventually used for further catalyst discoveries.
Credit
JAIST
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