The geometric-electronic coupled design of diatomic catalyst towards oxygen reduction reaction

Diatomic catalysts are promising candidates for heterogeneous catalysis, whereas the rational design meets the challenges of numerous optional elements and the correlated alternation of parameters that affect the performance. Herein, we demonstrate a geometric-electronic coupled design of diatomic catalysts towards oxygen reduction reaction through machine learning derived catalytic "hot spot map". The hot spot map is constructed with two descriptors as axes, including the geometric distance of the diatom and electronic magnetic moment. The narrow hot region in the map indicates the necessary collaborative regulation of the geometric and electronic effects for catalyst design. As a predicted ideal catalyst for oxygen reduction reaction, the N-bridged Co, Mn diatomic catalyst (Co-N-Mn/NC) is experimentally synthesized with a half-wave potential of 0.90 V, together with the embodied zinc air battery displaying high peak power density of 271 mW cm<sup>-2</sup> and specific capacity of 806 mAh g <sup>- </sup><sup>1</sup><sub>Zn</sub>. This work presents an advanced prototype for the comprehensive design of catalysts.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-06-03
DOI
https://doi.org/10.1038/s41467-025-60170-0
Citations
22
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
8.00

Funders

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

The geometric-electronic coupled design of diatomic catalyst towards oxygen reduction reaction

Junjie Mao, Zhiwen Zhuo, Yutao Lin, Xuanni Lin et al.
22 citations
Nature Communications
Electrocatalysts for Energy Conversion
8.00
article

The geometric-electronic coupled design of diatomic catalyst towards oxygen reduction reaction

Junjie Mao, Zhiwen Zhuo, Yutao Lin, Xuanni Lin, Yan Liu, Dong Liu, Jun Jiang, Yan Yang
article en
22 citations

Abstract

Diatomic catalysts are promising candidates for heterogeneous catalysis, whereas the rational design meets the challenges of numerous optional elements and the correlated alternation of parameters that affect the performance. Herein, we demonstrate a geometric-electronic coupled design of diatomic catalysts towards oxygen reduction reaction through machine learning derived catalytic "hot spot map". The hot spot map is constructed with two descriptors as axes, including the geometric distance of the diatom and electronic magnetic moment. The narrow hot region in the map indicates the necessary collaborative regulation of the geometric and electronic effects for catalyst design. As a predicted ideal catalyst for oxygen reduction reaction, the N-bridged Co, Mn diatomic catalyst (Co-N-Mn/NC) is experimentally synthesized with a half-wave potential of 0.90 V, together with the embodied zinc air battery displaying high peak power density of 271 mW cm<sup>-2</sup> and specific capacity of 806 mAh g <sup>- </sup><sup>1</sup><sub>Zn</sub>. This work presents an advanced prototype for the comprehensive design of catalysts.

Nature CommunicationsVol. 16(1)
University of Science and Technology of China (CN), Hefei National Center for Physical Sciences at Nanoscale (CN), Anhui Normal University (CN), Beijing University of Chemical Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Electrocatalysts for Energy Conversion
8.00
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.