Quantized Channels and Instability Modulation Strategy in Au/PDMS Single-Crack Evolution

Controllable conductive channels in crack-based sensors are crucial for stable microdeformation detection, yet the random formation of disordered crack networks in conventional sensors hinders the precise analysis of single-crack contributions to sensing performance. We propose a stress-engineered single-crack architecture in Au/PDMS films, achieving control over conductive channel evolution through three distinct regimes: (I) nonpenetrating crack initiation, (II) metal point contact, and (III) fully penetrated fracture. High-resolution in situ monitoring reveals strain-quantized conductance in regime II, demonstrating ballistic transport with reproducible quantum steps (2e<sup>2</sup>/<i>h</i> multiples). While Regime III exhibits poor instability from stochastic conductive pathways, strategic integration of single-walled carbon nanotubes crack-bridging networks fundamentally transforms the conduction mechanism, stable resistance changes (Δ<i>R</i>/<i>R</i><sub>0</sub> ≈ 10<sup>6</sup>) at 2.45% strain. The coupled quantum-classical conduction mechanisms and hybrid nanoengineering strategy establishes new principles for ultrasensitive, stable epidermal electronics and AI-enhanced biomedical diagnostics.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-08-12
DOI
https://doi.org/10.1021/acsami.5c09003
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.67

Funders

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

Quantized Channels and Instability Modulation Strategy in Au/PDMS Single-Crack Evolution

Roberto Caputo, Yongqiang Yang, Guijiang Liu, Zhiming M. Wang et al.
1 citations
ACS Applied Materials & Interfaces
Advanced Sensor and Energy Harvesting Materials
0.67
article

Quantized Channels and Instability Modulation Strategy in Au/PDMS Single-Crack Evolution

Roberto Caputo, Yongqiang Yang, Guijiang Liu, Zhiming M. Wang, Manasa Pantrangi, Yue Zhang, Ye Wang, Xiaoyan Li, Z. P. Mao, Liang Pan, Yujie Wei
article en
1 citations

Abstract

Controllable conductive channels in crack-based sensors are crucial for stable microdeformation detection, yet the random formation of disordered crack networks in conventional sensors hinders the precise analysis of single-crack contributions to sensing performance. We propose a stress-engineered single-crack architecture in Au/PDMS films, achieving control over conductive channel evolution through three distinct regimes: (I) nonpenetrating crack initiation, (II) metal point contact, and (III) fully penetrated fracture. High-resolution in situ monitoring reveals strain-quantized conductance in regime II, demonstrating ballistic transport with reproducible quantum steps (2e<sup>2</sup>/<i>h</i> multiples). While Regime III exhibits poor instability from stochastic conductive pathways, strategic integration of single-walled carbon nanotubes crack-bridging networks fundamentally transforms the conduction mechanism, stable resistance changes (Δ<i>R</i>/<i>R</i><sub>0</sub> ≈ 10<sup>6</sup>) at 2.45% strain. The coupled quantum-classical conduction mechanisms and hybrid nanoengineering strategy establishes new principles for ultrasensitive, stable epidermal electronics and AI-enhanced biomedical diagnostics.

ACS Applied Materials & InterfacesVol. 17(33)
University of Electronic Science and Technology of China (CN), Istituto Nanoscienze (IT), Istituto di Nanotecnologia (IT), University of Calabria (IT)
Department of Science and Technology of Sichuan Province, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Openalex Percentile: Top 28%
Advanced Sensor and Energy Harvesting Materials
0.67
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.