Evidence map›Paper›PMID 40805415›Full record

ArticleMaterials (Basel, Switzerland)2025

Deep Neural-Assisted Flexible MXene-Ag Composite Strain Sensor with Crack Dual Conductive Network for Human Motion Sensing.

Junheng Fu, Zichen Xia, Haili Zhong, Xiangmou Ding, Yijie Lai, Sisi Li, Mengjie Zhang, Minxia Wang, Yuhao Zhang, Gangjin Huang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

15 authors.

Junheng FuCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Zichen XiaCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0009-0008-7735-9982
Haili ZhongCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Xiangmou DingCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Yijie LaiCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Sisi LiCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Mengjie ZhangCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Minxia WangCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Yuhao ZhangCollege of Mechanical and Electrical Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Gangjin HuangAviation Engineering Institute, Civil Aviation Flight University of China, Chengdu 641450, China.
Fei ZhanBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.
Shuting LiangCollege of Chemical and Environmental Engineering, Chongqing University of Arts and Sciences, Chongqing 402160, China.ORCID 0000-0001-8475-1693
Yun ZengCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.
Lei WangBeijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, Beijing 100083, China.
Yang ZhaoCollege of Water Conservancy and Hydropower Engineering, Sichuan Agricultural University, Ya'an 625014, China.ORCID 0000-0002-0360-3136

Funding

Sichuan Civil Aviation Flight Technology and Flight Safety Engineering Technology Research Center Project GY2024-41E
6 · The paper itself

Abstract

Developing stretchable strain sensors that combine both high sensitivity and a wide linear range is a critical requirement for health electronics, yet it remains challenging to meet the practical demands of daily health monitoring. This study proposes a novel heterogeneous surface strategy by in situ silver deposition on modified PDMS followed by MXene spray coating, constructing a multilevel microcrack strain sensor (MAP) using silver nanoparticles and MXene. This innovative multilevel heterogeneous microcrack structure forms a dual conductive network, which demonstrates excellent detection performance within GF

Indexed as

deep learningheterogeneous surface strategyMXenesilver nanoparticlestrain sensors

Identifiers

PMID40805415
PMCPMC12347900

What OpenQuestion holds

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LicenceCC BY
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.