Evidence map›Paper›PMID 41999251›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

A Self-Healing Magnetoelectric Sensor with Pain Sensing for Underwater Soft Electronics.

Xuan Zhang, Jinrun Zhou, Pengyu Chen, Xuchen Wang, Eddy Yi Ler Pang, Bin Su, Yu Jun Tan

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

7 authors.

Xuan ZhangDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Jinrun ZhouDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Pengyu ChenDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Xuchen WangDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Eddy Yi Ler PangDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.
Bin SuState Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China.
Yu Jun TanDepartment of Mechanical Engineering, College of Design and Engineering, National University of Singapore, Singapore.ORCID https://orcid.org/0000-0002-3828-9490

Funding

Italy-Singapore Science and Technology CooperationNUS start-up grantSingapore Ministry of Education (MOE) Academic Research Fund (ACRF) Tier 1Singapore Ministry of Education (MOE) Academic Research Fund (ACRF) Tier 12
6 · The paper itself

Abstract

Replicating the skin's ability to sense touch, feel pain, and heal itself is key to developing the next generation of durable soft electronics. These capabilities become more critical in underwater environments, where divers and underwater machines face severe challenges such as limited dexterity, device damage, and restricted power availability. Here, we develop a self-healing magnetoelectric sensory system (SMES) that uniquely integrates self-powered tactile and proximity sensing with damage detection and autonomous recovery for amphibious operation. The SMES features a multilayer architecture composed of a damage-sensing layer and an underlying magnetoelectric sensing layer, both utilizing a self-healing elastomer with patterned liquid-metal conductors. The design enables the system to detect and recover from pricking, puncturing, and cutting damage while maintaining stable functionality. The SMES exhibits good sensitivity, rapid response, and robust durability in both air and water. Demonstrations with a smart diving glove and a soft robotic hand highlight its potential for noncontact communication and mechanoreception with damage feedback, paving the way toward next-generation amphibious soft machines that can feel and heal like living skin.

Indexed as

damagemagnetoelectricself‐healingself‐poweredsensorunderwater

Identifiers

PMID41999251
PMCPMC13181518

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.