Get started
Work

Fluid-Dynamics-Rectified Chemical Vapor Deposition (CVD) Preparing Graphene-Skinned Glass Fiber Fabric and Its Application in Natural Energy Harvest

Year: 2024
Type: article
Abstract: Graphene chemical vapor deposition (CVD) growth directly on target using substrates presents a significant route toward graphene applications. However, the substrates are usually catalytic-inert and special-shaped; thus, large-scale, high-uniformity, and high-quality graphene growth is challenging. Herein, graphene-skinned glass fiber fabric (GGFF) was developed through graphene CVD growth on glass fiber fabric, a Widely used engineering material. A fluid dynamics rectification strategy was first proposed to synergistically regulate the distribution of carbon species in 3D space and their collisions with hierarchical-structured substrates, through which highly uniform deposition of high-quality graphene on fibers in large-scale 3D-woven fabric was realized. This strategy is universal and applicable to CVD systems using various carbon precursors. GGFF exhibits high electrical conductivity and photothermal conversion capability, based on which a natural energy harvester was first developed. It can harvest both solar and raindrop energy through solar heating and droplet-based electricity generating, presenting promising potentials to alleviate energy burdens.
DOI: 10.1021/jacs.4c07609
Authors: Yuyao Yang, Hao Yuan, Yi Cheng, Fan Yang, Mengxiong Liu, Kewen Huang, Kun Wang, Shuting Cheng, Ruojuan Liu, Wenjuan Li, Fushun Liang, Kangyi Zheng, Longfei Liu, Ce Tu, Xiaobai Wang, Yue Qi, Zhongfan Liu
Institutions: Peking University, Beijing Graphene Institute, Beijing National Laboratory for Molecular Sciences, China University of Petroleum, Beijing, State Key Laboratory of Heavy Oil, Soochow University, North University of China, Beijing Technology and Business University
Language: English
Open Access status: bronze
Funders: National Natural Science Foundation of China, China University of Petroleum, Beijing, Beijing Technology and Business University, Soochow University, North University of China, Peking University, State Key Laboratory of Heavy Oil Processing, Beijing Nova Program, Beijing National Laboratory for Molecular Sciences
Awards: G1053422299, G2256575814, G2410636567, G2680800547, G27553742, G307652246, G6224832246, G6547372622, G8547150044
OpenAlex ID: W4402030907
FWCI: 1.9
Cites: 56
Cited by: 20
Related to: 10