Distilling universal activity descriptors for perovskite catalysts from multiple data sources via multi-task symbolic regression.
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DOI: 10.1039/d3mh00157a
Abstract: Developing activity descriptors via data-driven machine learning (ML) methods can speed up the design of highly active and low-cost electrocatalysts. Despite the fact that a large amount of activity data for electrocatalysts is stored in… read more here.
Keywords: universal activity; task symbolic; activity descriptors; activity ... See more keywords