Crosslinking‐Modulated Hydrogel Piezoionic Sensor for Pattern Security Authentication in Human‐Machine Interfaces

Abstract Ionic hydrogels are uniquely suited as force‐sensing layers because of their good biocompatibility and controlled electromechanical properties. The emerging piezoionic effect allows them to sense the position of pressure, but the low response rate limits their applications. Herein, this work focuses on modulating the response time of piezoionic outputs through crosslinking. The underlying mechanism is investigated through the perspective of deformation recovery rate and ion migration behavior in the ionic hydrogels. As a result, the developed piezoionic sensors are capable of distinguishing static forces in the range of 0.1–5 s while monitoring dynamic force, breaking the limitations of conventional self‐powered pressure sensors that have trouble tracking static forces. Furthermore, by utilizing the piezoionic effect to convert the touch indentation into transverse gradient ionic potential, the constructed piezoionic sensors achieve accurate monitoring of finger pressing position and sliding trajectory. As a proof‐of‐concept, pattern unlocking in security authentication is successfully validated based on the developed piezoionic sensors. This design strategy of modulating ionic tactile sensor by crosslinking is expected to provide a fresh path for the large‐scale flexible human‐machine interfaces.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2024-12-27
DOI
https://doi.org/10.1002/adfm.202420187
Citations
19
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
3.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Crosslinking‐Modulated Hydrogel Piezoionic Sensor for Pattern Security Authentication in Human‐Machine Interfaces

Boling Lan, Weili Deng, Shenlong Wang, Weiqing Yang et al.
19 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
3.50
article

Crosslinking‐Modulated Hydrogel Piezoionic Sensor for Pattern Security Authentication in Human‐Machine Interfaces

Boling Lan, Weili Deng, Shenlong Wang, Weiqing Yang, Long Jin, Yue Sun, Tianpei Xu, Tao Yang, Xuelan Li, Guo Tian
article en
19 citations

Abstract

Abstract Ionic hydrogels are uniquely suited as force‐sensing layers because of their good biocompatibility and controlled electromechanical properties. The emerging piezoionic effect allows them to sense the position of pressure, but the low response rate limits their applications. Herein, this work focuses on modulating the response time of piezoionic outputs through crosslinking. The underlying mechanism is investigated through the perspective of deformation recovery rate and ion migration behavior in the ionic hydrogels. As a result, the developed piezoionic sensors are capable of distinguishing static forces in the range of 0.1–5 s while monitoring dynamic force, breaking the limitations of conventional self‐powered pressure sensors that have trouble tracking static forces. Furthermore, by utilizing the piezoionic effect to convert the touch indentation into transverse gradient ionic potential, the constructed piezoionic sensors achieve accurate monitoring of finger pressing position and sliding trajectory. As a proof‐of‐concept, pattern unlocking in security authentication is successfully validated based on the developed piezoionic sensors. This design strategy of modulating ionic tactile sensor by crosslinking is expected to provide a fresh path for the large‐scale flexible human‐machine interfaces.

Advanced Functional MaterialsVol. 35(19)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
3.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.