Evidence map›Paper›PMID 42764279›Full record

ArticleNature communications2026

In-situ architecturing of 3D graphene networks in metals via laser additive manufacturing for strength-toughness synergy.

Zhongkun Liao, Jingchi Zhang, Zichuan Fu, Liang Zhao, Xiaotong Luo, Fan Shi, Baisong Guo, Kaihao Zhang

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

8 authors.

Zhongkun LiaoSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China.ORCID http://orcid.org/0000-0002-0027-6176
Jingchi ZhangSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China.
Zichuan FuSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China.
Liang ZhaoSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China.
Xiaotong LuoSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China.
Fan ShiMechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Sai Kung, Hong Kong SAR, China.
Baisong GuoInstitute of Advanced Wear & Corrosion Resistant and Functional Materials, Jinan University, Guangzhou, China.
Kaihao ZhangSmart Manufacturing Thrust, The Hong Kong University of Science and Technology (Guangzhou), Nansha District, Guangzhou, China. kaihaozhang@hkust-gz.edu.cn.ORCID http://orcid.org/0000-0003-4804-3715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating two-dimensional nanomaterials into three-dimensional bulk metals to simultaneously achieve high strength and toughness remains challenging. Conventional fabrication methods for graphene-reinforced metal matrix composites (MMCs) often lead to graphene layers agglomeration and poor interfacial bonding. Here, we report a transformative manufacturing strategy that spontaneously architectures a three-dimensional graphene network within the metal matrix. Exploiting the rapid thermal cycles of laser powder bed fusion with a Ni/polymer precursor system, we drive in-situ conformal growth of high-quality graphene wrapping printed Ni scaffolds. Subsequent hot pressing densifies the pre-designed structure into a bulk composite, preserving the continuous, three-dimensional graphene network. This architectured composite exhibits a pronounced strength-ductility synergy, achieving a 72% enhancement in ultimate tensile strength (648 MPa) without sacrificing ductility (54% elongation). Our approach shifts additive manufacturing from a shaping technique to a potent platform for precise reinforcement architecture control, establishing a viable route to fabricate high-performance MMCs.

Identifiers

PMID42764279
PMCPMC13590628

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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.