Evidence map›Paper›PMID 40929278›Full record

ArticleScience advances2025

Rational assembly of 3D network materials and electronics through tensile buckling.

Xiaonan Hu, Zhi Liu, Zhenjia Tang, Shiwei Xu, Zhangming Shen, Yue Xiao, Youzhou Yang, Renheng Bo, Shuheng Wang, Wenbo Pang and 1 more

Abstract read
In one paragraph

Article in Science advances, 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. 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.

Xiaonan HuApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0009-0005-6530-1263
Zhi LiuApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0001-8037-7534
Zhenjia TangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0009-0003-6137-0697
Shiwei XuApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0002-3047-0252
Zhangming ShenApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.
Yue XiaoApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.
Youzhou YangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-1035-3769
Renheng BoApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0002-1366-0898
Shuheng WangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-3705-8372
Wenbo PangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-3380-3152
Yihui ZhangApplied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, P.R. China.ORCID 0000-0003-0885-2067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinspired network designs are widely exploited in biointegrated electronics and tissue engineering because of their high stretchability, imperfection insensitivity, high permeability, and biomimetic J-shaped stress-strain responses. However, the fabrication of three-dimensionally (3D) architected electronic devices with ordered constructions of network microstructures remains challenging. Here, we introduce the tensile buckling of stacked multilayer precursors as a unique route to 3D network materials with regularly distributed 3D microstructures. A data-driven topology optimization framework enables efficient search of the optimal 2D precursor pattern that maximizes out-of-plane dimension of the resulting 3D network material. Computational and experimental results demonstrate rational assembly of optimal multilayer precursor structures into well-architected 3D network materials with an evident interlayer separation. The resulting 3D network materials offer anisotropic, tunable J-shaped stress-strain curves, which can be tailored to reproduce stress-strain responses of biological tissues. Demonstration of reconfigurable volumetric 3D display suggests rich application opportunities in biointegrated electronics and tissue scaffolds.

Identifiers

PMID40929278
PMCPMC12422206

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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.