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. Versatile Ion‐Gel Fibrous Membrane for Energy‐Harvesting Iontronic Skin

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
en
2023

Versatile Ion‐Gel Fibrous Membrane for Energy‐Harvesting Iontronic Skin

0 Datasets

0 Files

en
2023
Vol 33 (37)
Vol. 33
DOI: 10.1002/adfm.202303723

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 Liu
Chunlin Zhao
Yao Xiong
+6 more

Abstract

Abstract Developing versatile and high sensitivity sensors is beneficial for promoting flexible electronic devices and human‐machine interactive systems. Researchers are working on the exploration of various active sensing materials toward broad detection, multifunction, and low‐power consumption. Here, a versatile ion‐gel fibrous membrane is presented by electrospinning technology and utilized to construct capacitive sensors and triboelectric nanogenerator (TENG). The iontronic capacitive sensor exhibits inherently favorable sensitivity and repeatability, which retains long‐term stability after 5000 cycles. The capacitive sensor can also detect a clear pulse waveform at the human wrist and enable the mapping of pressure distribution by a capacitive sensory matrix. For the iontronic TENG, the maximum peak power is 54.56 µW and can be used to power commercial electronics. In addition, the prepared iontronic TENG array can achieve interactive, rapidly responsive, and accurate dynamic monitoring, which broadens the exploration to direct and effective sensory devices. The versatile ion‐gel fibrous membrane is promising to provide an outstanding approach for physiological detection, biomechanical energy harvesting, human‐machine interaction, and self‐powered monitoring systems.

How to cite this publication

Yang Liu, Chunlin Zhao, Yao Xiong, Jiahong Yang, Haishuang Jiao, Qian Zhang, Ran Cao, Zhong Lin Wang, Qijun Sun (2023). Versatile Ion‐Gel Fibrous Membrane for Energy‐Harvesting Iontronic Skin. , 33(37), DOI: https://doi.org/10.1002/adfm.202303723.

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

2023

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.202303723

Join Research Community

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

Get Free Access