Evidence map›Paper›PMID 42010306›Full record

ArticleNature communications2026

Elucidating the Facet-Dependent Oxygen Reduction Reaction Performance of Cu Nanosheet over N-O co-Doped Graphene.

Shaojie Lu, Yiping Hu, Zhenwen Li, Liyu Zheng, Lei Xiong, Qin Yue

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shaojie LuInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China.ORCID http://orcid.org/0009-0002-2499-7047
Yiping HuInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China.
Zhenwen LiInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China.
Liyu ZhengInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China.
Lei XiongInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China. leixiong2018@163.com.ORCID http://orcid.org/0009-0004-3570-9332
Qin YueInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, P. R. China. qinyue@uestc.edu.cn.ORCID http://orcid.org/0000-0002-4687-1747

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22409025
6 · The paper itself

Abstract

Developing highly efficient noble-metal-free catalysts for oxygen reduction reaction (ORR) is critical for the widespread commercialization of metal-air batteries. Facet engineering provides an effective strategy to optimize the catalysts' activity, while the controlling facet orientation in non-precious metals remains challenging. Here we show a substrate-induced growth strategy to synthesize copper nanosheets with specific (200) and (111) facet orientations over nitrogen/oxygen co-doped graphene (N/O-C) via chemical vapor deposition (Cu(200)@N/O-C and Cu(111)@N/O-C), revealing a distinct facet-dependent activity for ORR. It clarifies the substrate oxygen coordination promotes preferential Cu(200) growth under moderate deposition, whereas excess vapor drives thermodynamically favored Cu(111) formation. Theoretical and experimental analyses demonstrate Cu(200) facet in N/O-C optimizes the adsorption energies of ORR intermediates and lowers the reaction barrier for the rate-determining step to outperform the Cu(111), which also exhibits better activity compared to commercial Pt/C. When integrated into zinc-air batteries, Cu(200)@N/O-C delivers a power density of 222.5 mW·cm

Identifiers

PMID42010306
PMCPMC13280022

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.