Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite cata...
Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts
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London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Symbolic regression (SR) is an approach of interpretable machine learning for building mathematical formulas that best fit certain datasets. In this work, SR is used to guide the design of new oxide perovskite catalysts with improved oxygen evolution reaction (OER) activities. A simple descriptor,
μ
/
t
, where
μ
and
t
are t...
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Full title
Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts
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TN_cdi_doaj_primary_oai_doaj_org_article_676d3825e20a4a98abc38543327d92c6
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_676d3825e20a4a98abc38543327d92c6
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-020-17263-9
