Evidence map›Paper›PMID 42666107›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Inverse Design of Pre-Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing.

Jia-Chen Shang, Rui Wang, Bo Lu, Ming-Liang Song, Yu-Yi Chen, Kuo Han, Xin-Jie Feng, Bin Sun, Yao-Guang Cao, Xiao-Yu Yan and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

11 authors.

Jia-Chen ShangSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.ORCID https://orcid.org/0009-0003-8152-282X
Rui WangSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.
Bo LuShandong Linglong Tyre Co., Ltd., Zhaoyuan, Shandong, P. R. China.
Ming-Liang SongShandong Linglong Tyre Co., Ltd., Zhaoyuan, Shandong, P. R. China.
Yu-Yi ChenHangzhou International Innovation Institute, Beihang University, Hangzhou, P. R. China.
Kuo HanSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.
Xin-Jie FengSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.
Bin SunSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.
Yao-Guang CaoHangzhou International Innovation Institute, Beihang University, Hangzhou, P. R. China.ORCID https://orcid.org/0000-0002-6107-2425
Xiao-Yu YanResearch Institute of Aero-Engine, Beihang University, Beijing, P. R. China.
Shi-Chun YangSchool of Transportation Science and Engineering, Beihang University, Beijing, P. R. China.ORCID https://orcid.org/0000-0003-3426-7988

Funding

National Natural Science Foundation of China U22A2042
6 · The paper itself

Abstract

Pre-strain engineering is widely employed to enhance the sensitivity of flexible piezoresistive sensors, yet empirical pre-straining inevitably triggers severe trade-offs among sensitivity, linearity, hysteresis, and effective working range, leaving the identification of the optimal pre-strain an unresolved challenge. Here, an analytical electromechanical model rooted in microcrack evolution mechanics is developed that unifies two governing regimes - conductive-network fragmentation during initial loading and reversible crack opening-closure during steady-state cycling - reproducing experimental data with R

Indexed as

electromechanical modelinginverse designmicrocrack structurespre‐strain engineeringsmart‐tire sensors

Identifiers

PMID42666107
PMCPMC13525424

What OpenQuestion holds

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Registered trials

None linked

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.