Cited by 9Advanced Sensor and Energy Harvesting MaterialsAdvanced Materials and MechanicsDielectric materials and actuators

Multi‐Dimensional Mechanical Mapping Sensor Based on Flexoelectric‐Like and Optical Signals

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Abstract

Mechanical sensors execute multi‐mode response to external force, which are cornerstones for applications in human–machine interactions and smart wearable equipments. Nevertheless, an integrated sensor responding to mechanical stimulation variables and providing the information of the corresponding signals, as velocity, direction, and stress distribution, remains a challenge. Herein, a Nafion@Ag@ZnS/polydimethylsiloxanes (PDMS) composite sensor is explored, which realizes the description of mechanical action via optics and electronics signals simultaneously. Combined with the mechano‐luminescence (ML) originated from ZnS/PDMS and the flexoelectric‐like effect of Nafion@Ag, the corresponding explored sensor achieves the detection of magnitude, direction, velocity, mode of mechanical stimulation, and the visualization of the stress distribution. Moreover, the outstanding cyclic stability, linearity response character, and rapid response time are demonstrated. Accordingly, the intelligent recognition and manipulation of a target are realized, which indicate a smarter human–machine interface sensing applied for wearable devices and mechanical arms can be expected.

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Crossref · 10.1002/advs.202301214

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  • Optical mechanical sensors utilize changes in the optical properties of perovskite materials to detect mechanical signals.

    “Optical mechanical sensors utilize changes in the optical properties of perovskite materials to detect mechanical signals [64,65].”

    From Design Strategies and Emerging Applications of Perovskite-Based Sensors (2025) · cites this paper as [65]

    The Results and Discussion describe a sensor that detects mechanical stimulation through visible light emitted by ZnS particles, supporting the optical-sensing part of the claim. But the material is identified as wurtzite-phase ZnS, not a perovskite, so this source does not support the claim’s material-specific assertion. Page numbers are unavailable in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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Cited by

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Authors
Zhang, P., Teng, Z., Zhao, L., Liu, Z., Yu, X., Zhu, X., Peng, S., Wang, T., Qiu, J., Wang, Q., & Xu, X.
Affiliations
  • Kunming University of Science and Technology (CN)
  • Singapore University of Technology and Design (SG)
  • Chengdu University (CN)
  • Chengdu University of Technology (CN)
Corresponding author
  • Yu, Xue
  • Wang, Ting
  • Xu, Xuhui
Venue
Advanced Science
Publisher
Wiley
Published
2023-04-20
Volume
10
Issue
19
Pages
e2301214-e2301214
ISSN
2198-3844 (ISSN-L)
OpenAlex
W4366463134
Cited by
9
References
2
Citations by year
2025: 3 · 2024: 4 · 2023: 2
FWCI
0.71
Type
journal article
Language
en
Open access
Locations
  • Advanced Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Natural Science Foundation of Yunnan Province (202001AS070008, 202101AT070126)
  • National Natural Science Foundation of China (U2241236, 1220041913)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
  • Physical Sciences › Engineering › Biomedical Engineering › Dielectric materials and actuators
Keywords
polydimethylsiloxane, stress distribution visualization, human-machine interaction, wearable devices, cycling stability

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