Evidence map›Paper›PMID 41974695›Full record

ArticleNature communications2026

Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks.

Jia Zhu, Xionghao Liu, Jiaying Li, Yang Xiao, Xin Mu, Ying Chen, Haibin Liu, Yujiao Qin, Yuhua Cheng, Zhenlong Huang and 5 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

15 authors.

Jia ZhuSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China. zhujia1990@uestc.edu.cn.ORCID http://orcid.org/0000-0002-1553-9821
Xionghao LiuSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.
Jiaying LiSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.
Yang XiaoSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.
Xin MuSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.
Ying ChenCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, PR China.
Haibin LiuCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, PR China.
Yujiao QinCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, PR China.
Yuhua ChengSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, PR China.ORCID http://orcid.org/0000-0002-5580-2006
Zhenlong HuangSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.ORCID http://orcid.org/0000-0002-3410-1411
Min GaoSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.ORCID http://orcid.org/0000-0003-3899-2933
Taisong PanSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China.ORCID http://orcid.org/0000-0003-1576-3409
Jian YangDepartment of Materials Science and Engineering, School of Engineering, Westlake University, Hangzhou, PR China.ORCID http://orcid.org/0000-0003-0695-828X
Huanyu ChengDepartment of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA, USA. huanyu.cheng@psu.edu.ORCID http://orcid.org/0000-0001-6075-4208
Yuan LinSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu, PR China. linyuan@uestc.edu.cn.ORCID http://orcid.org/0000-0002-9879-4341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thin, conformable electronic skin (e-skin), capable of accurately perceiving various stimuli (e.g., temperature and pressure), is an important building block for various cutting-edge applications, including human healthcare, structural health monitoring, human-machine interfaces, and closed-loop device systems. However, crosstalk from multiple input signals severely deteriorates the sensing accuracy of the measured temperature and pressure. Moreover, different constituent materials and fabrication protocols utilized for flexible sensors hinder their integration towards multifunctional e-skin. Here, this work introduces mechanically and electrically hybrid networks (MEHNs) in functional nanocomposites for large-area, multiplexed, and decoupled sensing. The rigid, high-resistive vanadium oxide (VO

Identifiers

PMID41974695
PMCPMC13243633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.