Flash healing of laser-induced graphene

Le Cheng, Chi Shun Yeung, Libei Huang, Ge Ye, Jie Yan, Wanpeng Li, Chunki Yiu, Fu-Rong Chen, Hanchen Shen, Ben Zhong Tang, Yang Ren, Xinge Yu () and Ruquan Ye ()
Additional contact information
Le Cheng: City University of Hong Kong
Chi Shun Yeung: City University of Hong Kong
Libei Huang: City University of Hong Kong
Ge Ye: City University of Hong Kong
Jie Yan: City University of Hong Kong
Wanpeng Li: City University of Hong Kong
Chunki Yiu: City University of Hong Kong
Fu-Rong Chen: City University of Hong Kong
Hanchen Shen: Shenzhen (CUHK-Shenzhen)
Ben Zhong Tang: Shenzhen (CUHK-Shenzhen)
Yang Ren: City University of Hong Kong
Xinge Yu: City University of Hong Kong
Ruquan Ye: City University of Hong Kong

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: Abstract The advancement of laser-induced graphene (LIG) technology has streamlined the fabrications of flexible graphene devices. However, the ultrafast kinetics triggered by laser irradiation generates intrinsic amorphous characteristics, leading to high resistivity and compromised performance in electronic devices. Healing graphene defects in specific patterns is technologically challenging by conventional methods. Herein, we report the rapid rectification of LIG’s topological defects by flash Joule heating in milliseconds (referred to as F-LIG), whilst preserving its overall structure and porosity. The F-LIG exhibits a decreased ID/IG ratio from 0.84 – 0.33 and increased crystalline domain from Raman analysis, coupled with a 5-fold surge in conductivity. Pair distribution function and atomic-resolution imaging delineate a broader-range order of F-LIG with a shorter C-C bond of 1.425 Å. The improved crystallinity and conductivity of F-LIG with excellent flexibility enables its utilization in high-performance soft electronics and low-voltage disinfections. Notably, our F-LIG/polydimethylsiloxane strain sensor exhibits a gauge factor of 129.3 within 10% strain, which outperforms pristine LIG by 800%, showcasing significant potential for human-machine interfaces.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-47341-1 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47341-1

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-47341-1

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().