Defect‐Triggered Orbital Hybridization in FeMn Dual‐Atom Catalysts Toward Sabatier‐Optimized Oxygen Reduction

Abstract Dual single‐atom catalysts (DSAs), leveraging synergistic dual‐site interactions, represent a promising frontier in electrocatalysis. However, the precise synthesis of dual‐atom pairs and fine‐tuning of their electronic structures remain significant challenges. Herein, we construct a defect‐engineered heteronuclear FeMn‐DSA anchored on a porous nitrogen‐doped carbon matrix (FeMn D SA / d NC) through a customized trinuclear‐defect trapping strategy. This defect modulation strategy effectively stabilizes dual atomic pairs while optimizing electronic structures to approach Sabatier's optimality, significantly boosting oxygen reduction reaction (ORR) performance. The FeMn D SA / d NC achieves a high half‐wave potential of 0.921 V in alkaline media, with assembled zinc‐air batteries demonstrating 291 mW cm −2 peak power density and stable charge/discharge cycling for over 500 h. Theoretical calculations reveal that defect‐mediated coordination adjacent to Fe‐Mn diatomic centers triggers charge redistribution, suppressing antibonding orbital populations while strengthening Fe 3 d z 2 with O 2p orbital hybridization. This modulation weakens O─O bonding through optimized * OOH adsorption configurations, thereby enhancing ORR kinetics. The present work provides valuable insights into the precise modulation and the underlying mechanisms of DSAs, advancing the design of electrocatalysts for energy storage and conversion applications.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie
Published
2025-05-06
DOI
https://doi.org/10.1002/ange.202505268
Citations
1
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defect‐Triggered Orbital Hybridization in FeMn Dual‐Atom Catalysts Toward Sabatier‐Optimized Oxygen Reduction

Lei Tian, Mengxin Liu, Dapeng Cao, Jingshuai Li et al.
1 citations
Angewandte Chemie
Electrocatalysts for Energy Conversion
0.36
article

Defect‐Triggered Orbital Hybridization in FeMn Dual‐Atom Catalysts Toward Sabatier‐Optimized Oxygen Reduction

Lei Tian, Mengxin Liu, Dapeng Cao, Jingshuai Li, Ying Li, Zhongwei Chen, Pengcheng Zhao, Yang Liu
article en
1 citations

Abstract

Abstract Dual single‐atom catalysts (DSAs), leveraging synergistic dual‐site interactions, represent a promising frontier in electrocatalysis. However, the precise synthesis of dual‐atom pairs and fine‐tuning of their electronic structures remain significant challenges. Herein, we construct a defect‐engineered heteronuclear FeMn‐DSA anchored on a porous nitrogen‐doped carbon matrix (FeMn D SA / d NC) through a customized trinuclear‐defect trapping strategy. This defect modulation strategy effectively stabilizes dual atomic pairs while optimizing electronic structures to approach Sabatier's optimality, significantly boosting oxygen reduction reaction (ORR) performance. The FeMn D SA / d NC achieves a high half‐wave potential of 0.921 V in alkaline media, with assembled zinc‐air batteries demonstrating 291 mW cm −2 peak power density and stable charge/discharge cycling for over 500 h. Theoretical calculations reveal that defect‐mediated coordination adjacent to Fe‐Mn diatomic centers triggers charge redistribution, suppressing antibonding orbital populations while strengthening Fe 3 d z 2 with O 2p orbital hybridization. This modulation weakens O─O bonding through optimized * OOH adsorption configurations, thereby enhancing ORR kinetics. The present work provides valuable insights into the precise modulation and the underlying mechanisms of DSAs, advancing the design of electrocatalysts for energy storage and conversion applications.

Angewandte ChemieVol. 137(28)
Dalian Institute of Chemical Physics (CN), Chinese Academy of Sciences (CN), State Key Laboratory of Catalysis, Beijing University of Chemical Technology (CN)
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.