Evidence map›Paper›PMID 40271634›Full record

ArticleMaterials (Basel, Switzerland)2025

The Investigation of Ni-Doped SrFeO

Jiajia Cui, Yueyue Sun, Chaofan Yin, Hao Wang, Zhengrong Liu, Zilin Zhou, Kai Wu, Jun Zhou

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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. Review
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

8 authors.

Jiajia CuiSchool of Materials Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.ORCID 0009-0004-2723-7582
Yueyue SunCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Chaofan YinCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Hao WangHengtong Group, Suzhou 215200, China.
Zhengrong LiuCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Zilin ZhouCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.
Kai WuCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0003-4714-2906
Jun ZhouCenter of Nanomaterials for Renewable Energy, State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

Science and Technology Project of Xi'an High Voltage Apparatus Research Institute Co.,Ltd K252212-01(MT05)the Natural Science Basic Research Program of Shaanxi 2023-JC-QN-0483the Natural Science Basic Research Program of Shaanxi 2023-JC-QN-0559the School doctoral initiation fund 256082008the State Key Laboratory of Electrical Insulation and Power Equipment EIPE22306the State Key Laboratory of Electrical Insulation and Power Equipment EIPE22314
6 · The paper itself

Abstract

The development of symmetrical solid oxide fuel cells with identical cathode and anode is beneficial for thermal matching and reducing the cost. Herein, proton-conducting electrolyte and novel high catalytic activity electrode material for symmetrical solid oxide fuel cells are proposed. Ni-doping at the B-site of (Sr

Indexed as

boosted electrochemical performanceproton ceramic fuel cellssymmetrical electrodethermal matching

Identifiers

PMID40271634
PMCPMC11989438

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.