Evidence map›Paper›PMID 42209524›Full record

ArticleNature communications2026

Bulk spinodal-architected compositionally complex alloy with enhanced energy absorption across a wide temperature range.

Hao Gong, Yushan Geng, Qing Wang, Zhaoqi Chen, Baisong Guo, Zhixin Li, Sijia Hu, Anding Wang, Yong Yang

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Hao GongDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
Yushan GengDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.ORCID http://orcid.org/0009-0002-8437-7739
Qing WangState Key Laboratory of Materials for Advanced Nuclear Energy & School of Materials Science and Engineering, Shanghai University, Shanghai, P. R. China.ORCID http://orcid.org/0000-0002-6941-2383
Zhaoqi ChenDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
Baisong GuoInstitute of Advanced Wear & Corrosion Resistant and Functional Materials, Jinan University, Guangzhou, China.
Zhixin LiDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.ORCID http://orcid.org/0009-0000-6331-6668
Sijia HuDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China.
Anding WangResearch Institute of Interdisciplinary Science & School of Materials Science and Engineering, Dongguan University of Technology, Dongguan, China.ORCID http://orcid.org/0000-0002-8275-6981
Yong YangDepartment of Mechanical Engineering, College of Engineering, City University of Hong Kong, Kowloon Tong, Kowloon, Hong Kong, China. yonyang@cityu.edu.hk.ORCID http://orcid.org/0000-0002-0491-8295

Funding

Research Grants Council, University Grants Committee (RGC, UGC) CityU11202924Research Grants Council, University Grants Committee (RGC, UGC) CityU11207325
6 · The paper itself

Abstract

Bulk mechanical energy-absorbing materials are critically needed for various engineering applications. However, existing state-of-the-art materials face significant limitations: architected systems such as 3D-printed nano- and micro-lattices suffer from scalability constraints, while conventional foams often exhibit a strength-ductility trade-off that limits energy absorption. Here, we overcome these challenges by fabricating bulk architected alloys via electrochemical dealloying of a machine learning-identified compositionally complex spinodal alloy. These materials display a hierarchical structural architecture spanning seven orders of magnitude - from atomic-scale lattice distortion, nanoscale precipitates and amorphous oxide layers, microscale ligaments, to macroscale network dimensions. This multi-scale integration enables synergistic deformation mechanisms, yielding energy absorption capacities of ~106 MJ/m

Identifiers

PMID42209524
PMCPMC13388949

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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.