ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Machine Learning-Guided Surface Strain Engineering in Connected Platinum-Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Engineering the surface structure of catalysts is critical for achieving high intrinsic activity in the oxygen reduction reaction (ORR). We report a machine-learning (ML)-guided materials design strategy for the synthesis of support-free, connected nanoparticle catalysts with enhanced activity. ML analysis of a dataset comprising 210 Pt-based ORR catalysts quantitatively evaluated the relative importance of multiple structural, compositional, and electronic descriptors, identifying surface compressive strain (≈-4%) as an effective integrated descriptor strongly associated with ORR specific activity (SA). Guided by this insight, a H
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