Evidence map›Paper›PMID 41807396›Full record

ArticleNature communications2026

Multi-modal characterization of nitrate reduction nano-catalysts with periodic strain distribution.

Yiyuan Tao, Xingyu Zheng, Shi Huang, Ershuai Liu, Yangjian Lin, Qike Jiang, Long Yang, Walter S Drisdell, Tianding Xu, Yao Yang

Abstract read
PubMed Full text at PMC Publisher
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. 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

10 authors.

Yiyuan Tao *Department of Materials Science and Engineering, Westlake University, Hangzhou, China.
Xingyu Zheng *Department of Materials Science and Engineering, Westlake University, Hangzhou, China.
Shi HuangDepartment of Materials Science and Engineering, Westlake University, Hangzhou, China.
Ershuai LiuChemical Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-6491-5504
Yangjian LinDepartment of Materials Science and Engineering, Westlake University, Hangzhou, China.
Qike JiangDepartment of Materials Science and Engineering, Westlake University, Hangzhou, China.ORCID http://orcid.org/0009-0002-8060-2935
Long YangInterdisciplinary Materials Research Centre, School of Materials Science and Engineering, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0001-8731-0172
Walter S DrisdellChemical Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-8693-4562
Tianding XuDepartment of Materials Science and Engineering, Westlake University, Hangzhou, China.
Yao YangDepartment of Materials Science and Engineering, Westlake University, Hangzhou, China. yangyao@westlake.edu.cn.ORCID http://orcid.org/0000-0002-2896-9046

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52473240
6 · The paper itself

Abstract

Strain engineering serves as a pivotal strategy to optimize catalytic activity in electrocatalysis. However, the catalyst sizes under industrial conditions are usually large and even beyond nanometer regime. The critical methodological limitations on strain imaging of such catalysts with both large field of view and high spatial resolution obscure the mechanistic understanding of strain-performance correlations. Here, we present an optimized four-dimensional scanning transmission electron microscopy (4D-STEM) method to acquire strain mapping of both bulk and surface across particles up to 500 nm with 0.6 nm spatial resolution and 0.55% precision. We observe the ripple-like periodic strain coupled with elemental fluctuations inside a perovskite-type hydroxide CuCoSn(OH)

Identifiers

PMID41807396
PMCPMC13106681

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.