0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIn this paper, we report highly conductive, highly flexible, light weight and low cost printed graphene for wireless wearable communications applications. As a proof of concept, printed graphene enabled transmission lines and antennas on paper substrates were designed, fabricated and characterized. To explore its potentials in wearable communications applications, mechanically flexible transmission lines and antennas under various bended cases were experimentally studied. The measurement results demonstrate that the printed graphene can be used for RF signal transmitting, radiating and receiving, which represents some of the essential functionalities of RF signal processing in wireless wearable communications systems. Furthermore, the printed graphene can be processed at low temperature so that it is compatible with heat-sensitive flexible materials like papers and textiles. This work brings a step closer to the prospect to implement graphene enabled low cost and environmentally friendly wireless wearable communications systems in the near future.
Xianjun Huang, Ting Leng, Mengjian Zhu, Xiao Zhang, Jia-Cing Chen, Kuo‐Hsin Chang, Mohammed Aqeeli, A. K. Geǐm, Konstantin ‘kostya’ Novoselov, Zhirun Hu (2015). Highly Flexible and Conductive Printed Graphene for Wireless Wearable Communications Applications. Scientific Reports, 5(1), DOI: 10.1038/srep18298.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2015
Authors
10
Datasets
0
Total Files
0
Language
English
Journal
Scientific Reports
DOI
10.1038/srep18298
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
