Self-Adhesive,\nStretchable, and Thermosensitive Iontronic\nHydrogels for Highly Sensitive Neuromorphic Sensing–Synaptic\nSystems

Artificial\nsensory afferent nerves that emulate receptor nanochannel\nperception and synaptic ionic information processing in chemical environments\nare highly desirable for bioelectronics. However, challenges persist\nin achieving life-like nanoscale conformal contact, agile multimodal\nsensing response, and synaptic feedback with ions. Here, a precisely\ntuned phase transition poly(<i>N</i>-isopropylacrylamide)\n(PNIPAM) hydrogel is introduced through the water molecule reservoir\nstrategy. The resulting hydrogel with strongly cross-linked networks\nexhibits excellent mechanical performance (∼2000% elongation)\nand robust adhesive strength. Importantly, the hydrogel’s enhanced\nionic conductance and heterogeneous structure of the temperature-sensitive\ncomponent enable highly sensitive strain information perception (GF<sub>max</sub> = 7.94, response time ∼ 87 ms), temperature information\nperception (TCR<sub>max</sub> = −1.974%/°C, response time\n∼ 270 ms), and low energy consumption synaptic plasticity (42.2\nfJ/spike). As a demonstration, a neuromorphic sensing–synaptic\nsystem is constructed integrating iontronic strain/temperature sensors\nwith fiber synapses for real-time information sensing, discrimination,\nand feedback. This work holds enormous potential in bioinspired robotics\nand bioelectronics.

Publication Details

Journal
Figshare
Published
2024-08-08
DOI
https://doi.org/10.1021/acs.nanolett.4c02614.s001
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-Adhesive,\nStretchable, and Thermosensitive Iontronic\nHydrogels for Highly Sensitive Neuromorphic Sensing–Synaptic\nSystems

Figshare
Advanced Sensor and Energy Harvesting Materials
article

Self-Adhesive,\nStretchable, and Thermosensitive Iontronic\nHydrogels for Highly Sensitive Neuromorphic Sensing–Synaptic\nSystems

article en

Abstract

Artificial\nsensory afferent nerves that emulate receptor nanochannel\nperception and synaptic ionic information processing in chemical environments\nare highly desirable for bioelectronics. However, challenges persist\nin achieving life-like nanoscale conformal contact, agile multimodal\nsensing response, and synaptic feedback with ions. Here, a precisely\ntuned phase transition poly(<i>N</i>-isopropylacrylamide)\n(PNIPAM) hydrogel is introduced through the water molecule reservoir\nstrategy. The resulting hydrogel with strongly cross-linked networks\nexhibits excellent mechanical performance (∼2000% elongation)\nand robust adhesive strength. Importantly, the hydrogel’s enhanced\nionic conductance and heterogeneous structure of the temperature-sensitive\ncomponent enable highly sensitive strain information perception (GF<sub>max</sub> = 7.94, response time ∼ 87 ms), temperature information\nperception (TCR<sub>max</sub> = −1.974%/°C, response time\n∼ 270 ms), and low energy consumption synaptic plasticity (42.2\nfJ/spike). As a demonstration, a neuromorphic sensing–synaptic\nsystem is constructed integrating iontronic strain/temperature sensors\nwith fiber synapses for real-time information sensing, discrimination,\nand feedback. This work holds enormous potential in bioinspired robotics\nand bioelectronics.

Figshare
Openalex Percentile: Top 71%
Advanced Sensor and Energy Harvesting Materials
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.

Self-Adhesive,\nStretchable, and Thermosensitive Iontronic\nHydrogels for Highly Sensitive Neuromorphic Sensing–Synaptic\nSystems · Figshare (2024) | TGRS Research Map | TGRS