RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. A Flexible and Ultra-Highly Sensitive Tactile Sensor through a Parallel Circuit by a Magnetic Aligned Conductive Composite

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2022

A Flexible and Ultra-Highly Sensitive Tactile Sensor through a Parallel Circuit by a Magnetic Aligned Conductive Composite

0 Datasets

0 Files

en
2022
Vol 16 (1)
Vol. 16
DOI: 10.1021/acsnano.1c08273

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

Verified
Yang Jiang
Fei Liang
Hua Yang Li
+7 more

Abstract

The development of flexible electronic skins with high performance and multifunctional sensing capabilities is of great significance for applications ranging from healthcare monitoring to artificial intelligence. To mimic and surpass the high-gauge-factor sensing properties of human skin, structure design and appropriate material selection of sensors are both essentially required. Here, we present an efficient, low-cost fabrication strategy to construct an ultra-highly sensitive, flexible pressure sensor by embedding the aligned nickel-coated carbon fibers (NICFs) in a polydimethylsiloxane (PDMS) substrate. Our design substantially contributes to ultrahigh sensitivity through the parallel circuit formed by aligned NICFs as well as surface spinosum microstructure molded by sandpaper. As a result, the sensor exhibits excellent sensitivity (15 525 kPa–1), a fast response time (30 ms), and good stability over 3000 loading–unloading cycles. Furthermore, these superior sensing properties trigger applications in water quality and wave monitoring in conjunction with mechanical flexibility and robustness. As a precedent for adjusting the sensitivities of the sensor, the NICFs/PDMS sensor provides a promising method for multiscenario healthcare monitoring, multiscale pressure spatial distribution, and human–machine interfacing.

How to cite this publication

Yang Jiang, Fei Liang, Hua Yang Li, Xin Li, You Fan, Jinwei Cao, Yi Ming Yin, Ying Wang, Zhong Lin Wang, Guang Zhu (2022). A Flexible and Ultra-Highly Sensitive Tactile Sensor through a Parallel Circuit by a Magnetic Aligned Conductive Composite. , 16(1), DOI: https://doi.org/10.1021/acsnano.1c08273.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2022

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsnano.1c08273

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access