Evidence map›Paper›PMID 40777774›Full record

ArticleFundamental research2025

Promoting oxygen reduction reaction by tuning externally doped nitrogen around atomically dispersed iron.

Ning Sun, Sen Ru, Chao Zhang, Wei Liu, Qiquan Luo, Jiqing Jiao, Tongbu Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Ning SunMOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Sen RuInstitutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China.
Chao ZhangMOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Wei LiuState Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.
Qiquan LuoInstitutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China.
Jiqing JiaoMOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.
Tongbu LuMOE International Joint Laboratory of Materials Microstructure, Institute for New Energy Materials and Low Carbon Technologies, School of Materials Science and Engineering, Tianjin University of Technology, Tianjin 300384, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As potential alternatives to Pt-based catalysts for oxygen reduction reaction (ORR), iron (Fe)-based single-atomic site catalysts (SACs) have shown superior performances compared with others. For Fe SACs, the effect of directly coordinating N atoms has received intensive discussion, yet by contrast, the effect of secondary coordinating atoms has been left largely unexplored. Here, we developed a route to tuning externally doped N around Fe SACs to boost ORR activity. Density functional theory (DFT) calculations established the four different models for FeN

Indexed as

Coordination shellDensity functional theory calculationsN dopingOxygen reduction reactionSingle-atomic site catalysts

Identifiers

PMID40777774
PMCPMC12327825

What OpenQuestion holds

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Registered trials

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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.