Evidence map›Paper›PMID 39060252›Full record

ArticleNature communications2024

Transfer learning guided discovery of efficient perovskite oxide for alkaline water oxidation.

Chang Jiang, Hongyuan He, Hongquan Guo, Xiaoxin Zhang, Qingyang Han, Yanhong Weng, Xianzhu Fu, Yinlong Zhu, Ning Yan, Xin Tu and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

11 authors.

Chang Jiang *College of Energy, Xiamen University, Xiamen, China.
Hongyuan He *Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.
Hongquan GuoCollege of Energy, Xiamen University, Xiamen, China.
Xiaoxin ZhangCollege of Energy, Xiamen University, Xiamen, China.
Qingyang HanCollege of Energy, Xiamen University, Xiamen, China.
Yanhong WengShenzhen Key Laboratory of Energy Electrocatalytic Materials, Guangdong Research Center for Interfacial Engineering of Functional Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, China.
Xianzhu FuShenzhen Key Laboratory of Energy Electrocatalytic Materials, Guangdong Research Center for Interfacial Engineering of Functional Materials, College of Materials Science and Engineering, Shenzhen University, Shenzhen, China.ORCID http://orcid.org/0000-0003-1843-8927
Yinlong ZhuInstitute for Frontier Science, Nanjing University of Aeronautics and Astronautics, Nanjing, China.ORCID http://orcid.org/0000-0002-9207-2452
Ning YanSchool of Physics and Technology, Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0001-6677-7507
Xin TuDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK. xin.tu@liv.ac.uk.ORCID http://orcid.org/0000-0002-6376-0897
Yifei SunCollege of Energy, Xiamen University, Xiamen, China. yfsun@xmu.edu.cn.ORCID http://orcid.org/0000-0002-2346-8402

Funding

National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 22102135National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 22272136RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/V036696
6 · The paper itself

Abstract

Perovskite oxides show promise for the oxygen evolution reaction. However, numerical chemical compositions remain unexplored due to inefficient trial-and-error methods for material discovery. Here, we develop a transfer learning paradigm incorporating a pre-trained model, ensemble learning, and active learning, enabling the prediction of undiscovered perovskite oxides with enhanced generalizability for this reaction. Screening 16,050 compositions leads to the identification and synthesis of 36 new perovskite oxides, including 13 pure perovskite structures. Pr

Identifiers

PMID39060252
PMCPMC11282268

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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.