Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
Sign inGet started
​
​

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

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. Graphene‐Based Textiles for Thermal Management and Flame Retardancy

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

Graphene‐Based Textiles for Thermal Management and Flame Retardancy

0 Datasets

0 Files

English
2022
Advanced Functional Materials
Vol 32 (42)
DOI: 10.1002/adfm.202205934

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.
Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

Verified
Qi Ge
Jingwen Chu
Weiqi Cao
+6 more

Abstract

Textile thermoregulation and thermal protection are crucial for human health and safety. Individual thermophysiological comfort control and flame retardancy are lacking in traditional garments. Novel nanomaterial innovations have solved these limitations and have facilitated the development of next‐generation intelligent textiles. Smart textiles based on graphene and graphene derivatives material have attracted substantial attention owing to its superior electrical conductivity, high thermal conductivity, and flexibility. This review provides an overview of the current progress on the smart textiles using graphene and graphene derivative material with a focus on personal thermal management and flame retardancy. It covers mechanics, material developments, fabric designs, and on‐body applications, offering a comprehensive knowledge and scope of the entire area. Innovations in chemistry and materials with worldwide collaboration will push the frontiers of graphene‐based smart textiles, promoting the development of genuine commercial goods on the market.

How to cite this publication

Qi Ge, Jingwen Chu, Weiqi Cao, Fenglian Yi, Zhou Ran, Zhan Jin, Boyang Mao, Zheling Li, Konstantin ‘kostya’ Novoselov (2022). Graphene‐Based Textiles for Thermal Management and Flame Retardancy. Advanced Functional Materials, 32(42), DOI: 10.1002/adfm.202205934.

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

9

Datasets

0

Total Files

0

Language

English

Journal

Advanced Functional Materials

DOI

10.1002/adfm.202205934

Join Research Community

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

Get Free Access