Partially Embedded Carbon Nanotube Bundles in an Elastomer Matrix for Highly Sensitive and High-Spatial-Resolution Tactile Sensing

Flexible tactile sensors have attracted significant attention owing to their potential applications in various fields, such as human-machine interfaces and wearable devices. However, many previous studies have been limited by low sensitivity and insufficient spatial resolution. In this study, we developed high-resolution tactile sensor arrays integrated with vertically aligned carbon nanotube (VACNT) bundles, achieving a spatial resolution with a 1 mm pitch. The patterned VACNT bundles are synthesized on a micropyramidal silicon mold and subsequently transferred onto a polymer substrate to form a pressure-sensitive layer. The VACNTs were synthesized via a chemical vapor deposition process, resulting in excellent uniformity with only 4.23% variation among the pressure-sensing cells. When pressure was applied, the contact area increased both between the exposed VACNT strands and the electrodes, and among the VACNTs embedded within the polydimethylsiloxane matrix. This dual-contact mechanism led to a high sensitivity of 40.6 kPa<b><sup>-</sup></b><sup>1</sup> across a pressure range of 0-100 kPa. Leveraging these advantageous properties, we successfully demonstrated a pressure distribution measurement system capable of detecting both the magnitude and spatial distribution of subtle pressure.

Authors

Institutions

Publication Details

Journal
ACS Nano
Published
2026-03-04
DOI
https://doi.org/10.1021/acsnano.5c20779
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

Partially Embedded Carbon Nanotube Bundles in an Elastomer Matrix for Highly Sensitive and High-Spatial-Resolution Tactile Sensing

Yunsung Kang, Kyubin Bae, Eunhwan Jo, Hyunjun Han et al.
ACS Nano
Advanced Sensor and Energy Harvesting Materials
article

Partially Embedded Carbon Nanotube Bundles in an Elastomer Matrix for Highly Sensitive and High-Spatial-Resolution Tactile Sensing

Yunsung Kang, Kyubin Bae, Eunhwan Jo, Hyunjun Han, Jongbaeg Kim
article en

Abstract

Flexible tactile sensors have attracted significant attention owing to their potential applications in various fields, such as human-machine interfaces and wearable devices. However, many previous studies have been limited by low sensitivity and insufficient spatial resolution. In this study, we developed high-resolution tactile sensor arrays integrated with vertically aligned carbon nanotube (VACNT) bundles, achieving a spatial resolution with a 1 mm pitch. The patterned VACNT bundles are synthesized on a micropyramidal silicon mold and subsequently transferred onto a polymer substrate to form a pressure-sensitive layer. The VACNTs were synthesized via a chemical vapor deposition process, resulting in excellent uniformity with only 4.23% variation among the pressure-sensing cells. When pressure was applied, the contact area increased both between the exposed VACNT strands and the electrodes, and among the VACNTs embedded within the polydimethylsiloxane matrix. This dual-contact mechanism led to a high sensitivity of 40.6 kPa<b><sup>-</sup></b><sup>1</sup> across a pressure range of 0-100 kPa. Leveraging these advantageous properties, we successfully demonstrated a pressure distribution measurement system capable of detecting both the magnitude and spatial distribution of subtle pressure.

ACS NanoVol. 20(10)
Kumoh National Institute of Technology (KR), Gyeongsang National University (KR), Yonsei University (KR), Walker (United States) (US), The University of Texas at Austin (US)
Openalex Percentile: Top 36%
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.