ArticleNature communications2020
Simple descriptor derived from symbolic regression accelerating the discovery of new perovskite catalysts.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
What it found
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Who cites it
43 citing papers in PubMed.
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- Bifunctional Electrocatalysts with High-Entropy Alloys: Bridging Hydrogen Evolution and Oxygen Reduction.Chemistry of materials : a publication of the American Chemical Society · 2026Review
- Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi-Variable Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Accurate prediction of synthesizability and precursors of 3D crystal structures via large language models.Nature communications · 2025Article
- SPOCK Tool for Constructing Empirical Volcano Diagrams from Catalytic Data.ACS catalysis · 2025Article
- Data-driven discovery of Pt single atom embedded germanosilicate MFI zeolite catalysts for propane dehydrogenation.Nature communications · 2025Article
- Guided electrocatalyst design through in-situ techniques and data mining approaches.Nano convergence · 2025Review
- Leveraging data mining, active learning, and domain adaptation for efficient discovery of advanced oxygen evolution electrocatalysts.Science advances · 2025Article
- Co-expression of multi-genes for polynary perovskite electrocatalysts for reversible solid oxide cells.Nature communications · 2025Article
- Inverse design of promising electrocatalysts for CONature communications · 2025Article
- Expanding the frontiers of electrocatalysis: advanced theoretical methods for water splitting.Nano convergence · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
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 the octahedral and tolerance factors, respectively, is identified, which accelerates the discovery of a series of new oxide perovskite catalysts with improved OER activity. We successfully synthesise five new oxide perovskites and characterise their OER activities. Remarkably, four of them, Cs
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Registered trials
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