Evidence map›Paper›PMID 40234423›Full record

ArticleNature communications2025

Dispersion hardening using amorphous nanoparticles deployed via additive manufacturing.

Ge Wang, Yin Zhang, Jian Liu, Wen Chen, Kang Wang, Bo Cui, Bingkun Zou, Qiubao Ouyang, Yanming Zhang, Zhaoyang Hu and 9 more

Abstract read
In one paragraph

Article in Nature communications, 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. Decoupling Stable Cyclic Deformation From Defect Accumulation in Metals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

19 authors.

Ge Wang *State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China.
Yin Zhang *State Key Laboratory for Turbulence and Complex System, College of Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-9194-2233
Jian Liu *Department of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA.
Wen ChenDepartment of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, USA.ORCID http://orcid.org/0000-0003-2048-1107
Kang WangState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0002-3503-5487
Bo CuiState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China.
Bingkun ZouState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China.
Qiubao OuyangState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China.
Yanming ZhangDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Zhaoyang HuDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Lu WangDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-5055-5539
Wentao YanDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-8480-6375
Shenbao JinSchool of Material Science and Engineering, Hebei University of Technology, Tianjin, China.
Jun DingCenter for Alloy Innovation and Design, State Key Laboratory for Mechanical Behaviour of Materials, Xi'an Jiaotong University, Xi'an, China.ORCID http://orcid.org/0000-0002-4091-8663
Y Morris WangDepartment of Materials Science and Engineering, University of California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-0393-5154
Ting ZhuWoodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.ORCID http://orcid.org/0000-0001-8612-9689
Zan LiState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China. njulizan@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-6702-5267
Di ZhangState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai, China. zhangdi@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-2526-8954
Evan MaCenter for Alloy Innovation and Design, State Key Laboratory for Mechanical Behaviour of Materials, Xi'an Jiaotong University, Xi'an, China. maen@xjtu.edu.cn.ORCID http://orcid.org/0000-0002-7468-4340

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles or precipitates are long used to block dislocations to strengthen metals. However, this strengthening mechanism unavoidably adds stress concentrations at the obstacles, instigating crack initiation that hampers ductility. Here, we demonstrate a strategy that replaces the traditional crystalline dispersions with dense amorphous nanoparticles, which is made possible via laser powder bed fusion. Porosity-free copper-based nanocomposites are demonstrated as a prototype, consisting of densely and uniformly distributed amorphous boron-carbide nanoparticles (~47 nm in average diameter, up to 12% volume fraction) via an in situ nanofragmentation and melt-quench process. The amorphous nanoparticles act as dislocation sinks, thereby alleviating local stress concentration. They also self-harden along with tensile deformation, promoting strain hardening and therefore homogeneous plastic flow. The as-built composite achieves a tensile strength of more than one gigapascal and a total elongation of approximately 10%, more than twice that of its crystalline dispersion counterpart. Defect accumulation is also suppressed upon cyclic deformation of the as-built bulk nanocomposites, delivering a fatigue strength limit (at > 10

Identifiers

PMID40234423
PMCPMC12000581

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.