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Article Abstract

Advancing the discovery of novel materials for electrosynthesis of hydrogen peroxide (HO) the two-electron oxygen reduction reaction (2e-ORR) while rationalizing and quantifying selectivity trends has been an ambitious objective. A recently introduced selectivity descriptor, ΔΔ, published in 2023, 3(3), 100568, utilizes thermodynamic analysis of adsorption free energies of key ORR intermediates (Δ and Δ ) along with the free energy of HO to quantify selectivity and establish trends. This model has been successfully applied to a large database of binary alloys, demonstrating strong potential for predicting selective materials 2024, 63, e202404677. In this study, we systematically explore a diverse range of active sites in carbon-based structures, boron nitrides, and single atom catalysts, emerging classes of materials for 2e-ORR. We assess the effectiveness of ΔΔ in capturing selectivity trends and distinguishing sites that are both catalytically active and highly selective. Our findings highlight that not all active sites in carbon-based materials reported with high activity inherently exhibit high selectivity, with only a small fraction meeting both criteria. This work highlights the importance of ΔΔ as a predictive tool, providing valuable insights for designing selective and active two-dimensional materials.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338092PMC
http://dx.doi.org/10.1039/d5sc04904kDOI Listing

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