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- W4226133037 abstract "A data-driven framework was developed which used ML surrogate model to extract activity controlling descriptors from kinetics dataset. It enhanced mechanic understanding and predicted catalytic activities more accurately than derivate-based method." @default.
- W4226133037 created "2022-05-05" @default.
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- W4226133037 date "2022-01-01" @default.
- W4226133037 modified "2023-10-18" @default.
- W4226133037 title "Enhanced descriptor identification and mechanism understanding for catalytic activity using a data-driven framework: revealing the importance of interactions between elementary steps" @default.
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- W4226133037 doi "https://doi.org/10.1039/d2cy00284a" @default.
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