Tailoring Cu Nanoparticles Motif Into Atomic‐Level Sites for Efficient H <sub>2</sub> O <sub>2</sub> Electrosynthesis

ABSTRACT The engineering of active motifs via ensemble effects has emerged as a powerful strategy for modulating oxygen reduction reaction (ORR) selectivity. While Cu‐based materials have demonstrated promising potential as ORR electrocatalysts, the correlation between ensemble effects in Cu active motifs and the selectivity toward hydrogen peroxide (H 2 O 2 ) production via the 2e − ORR pathway remains insufficiently investigated. Herein, we systematically demonstrate that structural evolution of carbon‐supported Cu electrocatalysts from nanoparticles to atomic‐level single Cu─C 2 sites and nanoclusters (denoted as Cu SA ─Cu clu /C) effectively eliminates accessible ensemble sites characteristic of nanoparticles and induces preferential end‐on adsorption of O 2 on atomic‐level sites, thereby significantly enhancing both the selectivity and activity for H 2 O 2 generation. Comprehensive evaluations through rotating ring‐disk electrodes, H‐cell testing, and flow cell amplification consistently verify their superior performance. Integrating experiments and theoretical modeling, we confirm that the 2e − ORR selectivity and activity exhibit progressive enhancement as the active motif dimension decreases from nanoparticles (multi‐atom ensembles) to nanoclusters (sub‐nm aggregates) and ultimately to single‐atom sites. This study provides the first experimental confirmation of the size‐dependent activity/selectivity trends in H 2 O 2 generation over Cu‐based electrocatalysts, establishing a generalizable framework that could be extended to other transition metal systems for precise regulation of ORR activity and selectivity.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-05-11
DOI
https://doi.org/10.1002/adfm.75746
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Tailoring Cu Nanoparticles Motif Into Atomic‐Level Sites for Efficient H 2 O 2 Electrosynthesis

J W Zhang, Mengyun Hou, Wuyi Feng, Liu Zheng et al.
Advanced Functional Materials
Electrocatalysts for Energy Conversion
article

Tailoring Cu Nanoparticles Motif Into Atomic‐Level Sites for Efficient H 2 O 2 Electrosynthesis

J W Zhang, Mengyun Hou, Wuyi Feng, Liu Zheng, Di Zhao, Jing Liu, Irshad Hussain
article en

Abstract

ABSTRACT The engineering of active motifs via ensemble effects has emerged as a powerful strategy for modulating oxygen reduction reaction (ORR) selectivity. While Cu‐based materials have demonstrated promising potential as ORR electrocatalysts, the correlation between ensemble effects in Cu active motifs and the selectivity toward hydrogen peroxide (H 2 O 2 ) production via the 2e − ORR pathway remains insufficiently investigated. Herein, we systematically demonstrate that structural evolution of carbon‐supported Cu electrocatalysts from nanoparticles to atomic‐level single Cu─C 2 sites and nanoclusters (denoted as Cu SA ─Cu clu /C) effectively eliminates accessible ensemble sites characteristic of nanoparticles and induces preferential end‐on adsorption of O 2 on atomic‐level sites, thereby significantly enhancing both the selectivity and activity for H 2 O 2 generation. Comprehensive evaluations through rotating ring‐disk electrodes, H‐cell testing, and flow cell amplification consistently verify their superior performance. Integrating experiments and theoretical modeling, we confirm that the 2e − ORR selectivity and activity exhibit progressive enhancement as the active motif dimension decreases from nanoparticles (multi‐atom ensembles) to nanoclusters (sub‐nm aggregates) and ultimately to single‐atom sites. This study provides the first experimental confirmation of the size‐dependent activity/selectivity trends in H 2 O 2 generation over Cu‐based electrocatalysts, establishing a generalizable framework that could be extended to other transition metal systems for precise regulation of ORR activity and selectivity.

Advanced Functional Materials
Beijing Institute of Technology (CN), Lahore University of Management Sciences (PK), Institute of High Energy Physics (AT), Institute of High Energy Physics (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Electrocatalysts for Energy Conversion
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.