Evidence map›Paper›PMID 42129173›Full record

ArticleNature communications2026

Bending-fatigue-resistant hierarchical NiTi shape memory alloy.

Kai Yan, Kangjie Chu, Maoli Wang, Peng Hua, Pengbo Wei, Hanlin Gu, Qiming Zhuang, Weifeng He, Qingping Sun, Robert O Ritchie and 1 more

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

11 authors.

Kai Yan *Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0002-0183-8628
Kangjie Chu *Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0003-0522-3409
Maoli WangDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Peng HuaSchool of Science, Harbin Institute of Technology, Shenzhen, China.
Pengbo WeiDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Hanlin GuDepartment of Mechanics and Engineering Science, Peking University, Beijing, China.
Qiming ZhuangDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Weifeng HeState Key Laboratory for Manufacturing Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Qingping SunDepartment of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Hong Kong, China. meqpsun@ust.hk.ORCID http://orcid.org/0000-0002-1032-766X
Robert O RitchieDepartment of Materials Science and Engineering, University of California, Berkeley, CA, USA. roritchie@lbl.gov.ORCID http://orcid.org/0000-0002-0501-6998
Fuzeng RenDepartment of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, China. renfz@sustech.edu.cn.ORCID http://orcid.org/0000-0002-9310-2174

Funding

Guangdong Science and Technology Department (Science and Technology Department, Guangdong Province) 2022B1515120082Guangdong Science and Technology Department (Science and Technology Department, Guangdong Province) 2025A1515011336National Natural Science Foundation of China (National Science Foundation of China) 12302095National Natural Science Foundation of China (National Science Foundation of China) 52122102
6 · The paper itself

Abstract

The bending fatigue resistance of superelastic shape memory alloys (SMAs) is a key determinant for their reliable function in cyclic applications such as biomedical implants, adaptive actuators, and elastocaloric devices. However, conventional NiTi alloys exhibit limited fatigue life due to premature crack initiation and propagation under cyclic tensile loading. Here, we report a surface engineering strategy that overcomes this limitation by inducing a hierarchical surface architecture via pre-strain warm laser shock peening (pw-LSP). This architecture integrates a high-strength titanium nitride-enriched top layer, an ultrafine-grained layer with an inverse grain size gradient and a B19'-R-B2 phase gradient, and a substantial compressive residual stress exceeding 1 GPa. These features act synergistically to suppress crack nucleation and arrest propagation through a crack-tip shielding mechanism. As a result, the treated NiTi demonstrates a bending fatigue life exceeding 5 million cycles at a maximum surface tensile strain of 1.94%-representing a more than 3000-fold enhancement over untreated nanocrystalline NiTi. This work presents a robust and scalable approach for designing fatigue-resistant SMAs with broad implications for high-cycle, high-reliability applications.

Identifiers

PMID42129173
PMCPMC13376817

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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.