Adaptive hexagonal metal-oxynitride monolayers for oxygen reduction catalysis

Transition metal nitrides (TMNs) have recently attracted increasing attention as a robust alternative to platinum electrocatalysts in alkaline oxygen reduction reactions (ORR). However, the fundamental understanding on the catalytic nature of the TMNs remains elusive, impeding the further catalyst design and optimization. Here, using ZrN as a model catalyst, we demonstrate that the unexpected catalytic activity of TMNs originates from the self-adaptive behavior of surface-reconstructed oxynitride monolayers under ORR conditions. Our first-principles calculations reveal that oxygen adsorption triggers a square-to-hexagonal symmetry transition on the ZrN surface, stabilizing a hexagonal ZrNO monolayer. At quarter-hydroxyl coverage, this reconstruction generates semi-elliptical cavities that confine the highly active Zr sites. Crucially, the flexible Zr-N-Zr linkages connecting these Zr sites and the underlying ZrN substrate undergo dynamic bond-length variations during ORR, which precisely regulate oxygen intermediate adsorption and significantly enhance catalytic activity. Experimental characterization aligns well with these theoretical predictions. The as-designed ZrNO monolayer catalyst delivers a 0.882 V half-wave potential for ORR and enables zinc-air batteries with 240 mW cm<sup>−2</sup> peak power density—metrics that exceed state-of-the-art Pt/C. This study provides atomic-level insights into the nature of TMNs catalytic monolayers, paving the way for stable and active catalyst engineering in next-generation energy technologies.

Authors

Publication Details

Journal
Nano Research
Published
2026-02-01
DOI
https://doi.org/10.26599/nr.2026.94908558
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

Adaptive hexagonal metal-oxynitride monolayers for oxygen reduction catalysis

Xiaodong Shao, Yongbing Tang, Xin Lei, Chunlei Jiang et al.
Nano Research
Electrocatalysts for Energy Conversion
article

Adaptive hexagonal metal-oxynitride monolayers for oxygen reduction catalysis

Xiaodong Shao, Yongbing Tang, Xin Lei, Chunlei Jiang, Yongping Zheng, Jinxiao Wu, Ruihui Gan
article en

Abstract

Transition metal nitrides (TMNs) have recently attracted increasing attention as a robust alternative to platinum electrocatalysts in alkaline oxygen reduction reactions (ORR). However, the fundamental understanding on the catalytic nature of the TMNs remains elusive, impeding the further catalyst design and optimization. Here, using ZrN as a model catalyst, we demonstrate that the unexpected catalytic activity of TMNs originates from the self-adaptive behavior of surface-reconstructed oxynitride monolayers under ORR conditions. Our first-principles calculations reveal that oxygen adsorption triggers a square-to-hexagonal symmetry transition on the ZrN surface, stabilizing a hexagonal ZrNO monolayer. At quarter-hydroxyl coverage, this reconstruction generates semi-elliptical cavities that confine the highly active Zr sites. Crucially, the flexible Zr-N-Zr linkages connecting these Zr sites and the underlying ZrN substrate undergo dynamic bond-length variations during ORR, which precisely regulate oxygen intermediate adsorption and significantly enhance catalytic activity. Experimental characterization aligns well with these theoretical predictions. The as-designed ZrNO monolayer catalyst delivers a 0.882 V half-wave potential for ORR and enables zinc-air batteries with 240 mW cm<sup>−2</sup> peak power density—metrics that exceed state-of-the-art Pt/C. This study provides atomic-level insights into the nature of TMNs catalytic monolayers, paving the way for stable and active catalyst engineering in next-generation energy technologies.

Nano Research
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 52%
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.