Interfacial Electronic Modulation in Synergistic FeNi–FeNC Hybrid Catalysts with Tuned d-Band Centers for Efficient and Durable Zinc–Air Batteries

FeNC materials are promising nonprecious metal catalysts for zinc–air battery (ZAB) air cathodes. However, their bifunctional catalytic performance is limited by excessively strong adsorption of oxygen intermediates. Here, we constructed a hybrid catalyst consisting of FeNi alloy nanoparticles anchored on a nanocubic FeNC support, denoted as FeNi@FeNC. Strong interfacial coupling between FeNi and FeNC facilitates electron transfer from the alloy to the support. This leads to a downshift of the d-band center and increased electron occupancy of the Fe eg orbitals, thereby optimizing the adsorption energy of oxygen intermediates. Owing to this electronic structure modulation, FeNi@FeNC shows exceptional bifunctional oxygen electrocatalytic performance, including an oxygen reduction reaction (ORR) half-wave potential of 0.9 V, an oxygen evolution reaction (OER) overpotential of 337 mV at 10 mA cm–2, and excellent durability. When applied in a rechargeable ZAB, the catalyst achieves a peak power density of 222.44 mW cm–2 and maintains stable operation for over 500 h. This study demonstrates an effective strategy for interfacial electronic modulation, providing a new approach for developing high-performance bifunctional electrocatalysts for zinc–air batteries.

Authors

Institutions

Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2025-11-06
DOI
https://doi.org/10.1021/acssuschemeng.5c09697
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interfacial Electronic Modulation in Synergistic FeNi–FeNC Hybrid Catalysts with Tuned d-Band Centers for Efficient and Durable Zinc–Air Batteries

Ning Han, Lizi He, Yi Hu, Cong Han
ACS Sustainable Chemistry & Engineering
Electrocatalysts for Energy Conversion
article

Interfacial Electronic Modulation in Synergistic FeNi–FeNC Hybrid Catalysts with Tuned d-Band Centers for Efficient and Durable Zinc–Air Batteries

Ning Han, Lizi He, Yi Hu, Cong Han
article en

Abstract

FeNC materials are promising nonprecious metal catalysts for zinc–air battery (ZAB) air cathodes. However, their bifunctional catalytic performance is limited by excessively strong adsorption of oxygen intermediates. Here, we constructed a hybrid catalyst consisting of FeNi alloy nanoparticles anchored on a nanocubic FeNC support, denoted as FeNi@FeNC. Strong interfacial coupling between FeNi and FeNC facilitates electron transfer from the alloy to the support. This leads to a downshift of the d-band center and increased electron occupancy of the Fe eg orbitals, thereby optimizing the adsorption energy of oxygen intermediates. Owing to this electronic structure modulation, FeNi@FeNC shows exceptional bifunctional oxygen electrocatalytic performance, including an oxygen reduction reaction (ORR) half-wave potential of 0.9 V, an oxygen evolution reaction (OER) overpotential of 337 mV at 10 mA cm–2, and excellent durability. When applied in a rechargeable ZAB, the catalyst achieves a peak power density of 222.44 mW cm–2 and maintains stable operation for over 500 h. This study demonstrates an effective strategy for interfacial electronic modulation, providing a new approach for developing high-performance bifunctional electrocatalysts for zinc–air batteries.

ACS Sustainable Chemistry & EngineeringVol. 13(45)
Universidad del Noreste (MX)
Openalex Percentile: Top 77%
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.