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Yet the curvature of the supports, an intrinsic and tunable geometric parameter, is often overlooked. Herein, we present a high\u2010throughput computational study combined with machine learning methods to unravel the effect of carbon support curvature on the catalytic performance of SACs for the CO\n                    <jats:sub>2<\/jats:sub>\n                    reduction reaction (CO\n                    <jats:sub>2<\/jats:sub>\n                    RR). By investigating 28 transition metals (TMs) anchored on carbon nanotubes (CNTs) with different curvatures, we reveal that increasing curvature with higher surface energy universally enhances the thermodynamic and chemical stability of single atoms by strengthening metal\u2010support interactions. Surprisingly, the support curvature can break the linear scaling relationship that the same metal species generally have identical adsorption trends for different species, by adjusting which the competitive hydrogen evolution reaction (HER) can be effectively suppressed. Additionally, machine learning reveals the d\u2010band center as a key factor governing the curvature sensitivity of different metals. This work establishes support curvature as a controllable and intrinsic design dimension and proposes a general \u201ccurvature\u2010engineering\u201d strategy for developing efficient catalysts.\n                  <\/jats:p>","DOI":"10.1002\/chem.71259","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T10:50:31Z","timestamp":1781261431000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Carbon Curvature Influence on Single\u2010Atom Catalysts for CO\n                    <sub>2<\/sub>\n                    Reduction: A Study via High\u2010Throughput Calculations and Machine Learning"],"prefix":"10.1002","volume":"32","author":[{"given":"Haishan","family":"Su","sequence":"first","affiliation":[{"name":"State Key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Lanzhou Institute of Chemical Physics Chinese Academy of Sciences  Lanzhou 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