Evidence map›Paper›PMID 41743853›Full record

ArticleResearch (Washington, D.C.)2026

A Self-Decoupling Multimodal Sensor for Enhanced Early Warning of Lithium-Ion Battery Thermal Runaway.

Zhenglin Li, Meiyuan Jiao, Ke Chen, Yangyang Gao, Yang Gao, Cheng Lian, Jianrui Zhang, Fuzhen Xuan

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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.

Zhenglin LiSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.
Meiyuan JiaoState Key Laboratory of Chemical Engineering, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China.
Ke ChenSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.
Yangyang GaoSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.
Yang GaoSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.ORCID https://orcid.org/0000-0002-1069-2157
Cheng LianState Key Laboratory of Chemical Engineering, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China.ORCID https://orcid.org/0000-0002-9016
Jianrui ZhangSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.
Fuzhen XuanSchool of Mechanical and Power Engineering, Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, East China University of Science and Technology, Shanghai 200237, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lithium-ion batteries (LIBs) are central to sustainable energy systems but are vulnerable to thermal runaway (TR), necessitating robust safety monitoring. Conventional single-sensor systems cannot decouple the coupled electrochemical, thermal, and mechanical processes, while existing multimodal sensors suffer from signal cross-talk and large footprints in practical applications. Here, we introduce an insect-inspired, self-decoupling multimodal sensor, fabricated via maskless laser direct writing, that leverages distinct sensing mechanisms and orthogonal output signals for simultaneous strain, temperature, and gas detection. The sensor achieves reliable intrinsic decoupling of strain and temperature over 20 to 110 °C, along with an independent gas response. Seamlessly integrated onto lithium iron phosphate (LiFePO

Identifiers

PMID41743853
PMCPMC12929815

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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.