Rationalizing the Overall H<sub>2</sub>O<sub>2</sub> Selectivity of Metal Dichalcogenide Electrocatalysts for the Two-Electron Oxygen Reduction Reaction Using Microkinetic Modeling

Electrocatalytic production of hydrogen peroxide (H2O2) via the two-electron oxygen reduction reaction (2e– ORR) in acidic solution enables numerous potential applications, including water treatment and degradation of pollutants via the electro-Fenton process. However, prior studies of H2O2 electrosynthesis have not accounted for the detailed and quantitative competition between the 2e– and 4e– pathways or the reactivity of the generated H2O2, nor the surprising selectivity differences of related electrocatalysts under high overpotentials. Here, we combine first-principles calculations and microkinetic modeling, including both thermal and electrochemical steps, to elucidate the factors governing the selectivity and maximum H2O2 accumulation of Ni- and Co-based transition metal dichalcogenide electrocatalysts. The predicted catalytic current densities, selectivity, and maximum H2O2 accumulation from our kinetic model are in good agreement with the corresponding experimental results. Further analysis of the kinetic model establishes the key role of the reductive elimination barrier of surface adsorbed H2O2* in modulating the H2O2 selectivity and accumulation on different catalysts, yielding mechanistic insights to design improved 2e– ORR electrocatalysts and potential avenues for future electrocatalyst optimization.

Authors

Institutions

Publication Details

Journal
ACS Catalysis
Published
2025-05-09
DOI
https://doi.org/10.1021/acscatal.5c01079
Citations
1
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rationalizing the Overall H2O2 Selectivity of Metal Dichalcogenide Electrocatalysts for the Two-Electron Oxygen Reduction Reaction Using Microkinetic Modeling

Hongyuan Sheng, Kwanpyung Lee, Song Jin, Ipsita Mondal et al.
1 citations
ACS Catalysis
Electrocatalysts for Energy Conversion
0.36
article

Rationalizing the Overall H2O2 Selectivity of Metal Dichalcogenide Electrocatalysts for the Two-Electron Oxygen Reduction Reaction Using Microkinetic Modeling

Hongyuan Sheng, Kwanpyung Lee, Song Jin, Ipsita Mondal, J. R. Schmidt
article en
1 citations

Abstract

Electrocatalytic production of hydrogen peroxide (H2O2) via the two-electron oxygen reduction reaction (2e– ORR) in acidic solution enables numerous potential applications, including water treatment and degradation of pollutants via the electro-Fenton process. However, prior studies of H2O2 electrosynthesis have not accounted for the detailed and quantitative competition between the 2e– and 4e– pathways or the reactivity of the generated H2O2, nor the surprising selectivity differences of related electrocatalysts under high overpotentials. Here, we combine first-principles calculations and microkinetic modeling, including both thermal and electrochemical steps, to elucidate the factors governing the selectivity and maximum H2O2 accumulation of Ni- and Co-based transition metal dichalcogenide electrocatalysts. The predicted catalytic current densities, selectivity, and maximum H2O2 accumulation from our kinetic model are in good agreement with the corresponding experimental results. Further analysis of the kinetic model establishes the key role of the reductive elimination barrier of surface adsorbed H2O2* in modulating the H2O2 selectivity and accumulation on different catalysts, yielding mechanistic insights to design improved 2e– ORR electrocatalysts and potential avenues for future electrocatalyst optimization.

ACS CatalysisVol. 15(11)
University of Wisconsin–Madison (US)
Division of Chemistry
Clean water and sanitation
Openalex Percentile: Top 44%
Electrocatalysts for Energy Conversion
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rationalizing the Overall H<sub>2</sub>O<sub>2</sub> Selectivity of Metal Dichalcogenide Electrocatalysts for the Two-Electron Oxygen Reduction Reaction Using Microkinetic Modeling — Hongyuan Sheng, Kwanpyung Lee, et al. · ACS Catalysis (2025) | TGRS Research Map | TGRS