@article{538d1a2d052c42379a3ce45c7cd334ca,
title = "Tailoring mechanical and electrical properties of graphene oxide film for structural dielectric capacitors",
abstract = "Graphene oxide (GO) films can be used in structural dielectric capacitors (SDCs) as both primary structures and energy storage devices for large transportation equipment like aircraft. To meet the high requirements for aviation application, in this paper the mechanical and dielectric properties of GO films were optimized by concisely tailoring their carbon-to-oxygen (C/O) ratio. Our results show that both the mechanical and electrical conductivity of GO films increase with increasing the C/O ratio. This work also demonstrates that both mechanical and dielectric properties of GO films can be enhanced simultaneously through a mild reduction whilst retaining the electrical insulating nature of GO for SDC applications. The insights provided in this work would be beneficial not only for SDC applications but also for fundamental studies and developments of GO related materials.",
keywords = "Carbon-to-oxygen ratio, Density functional theory (DFT), Dielectric property, Graphene oxide, Mechanical property",
author = "Chan, {Kit Ying} and Ardeshir Baktash and Baris Demir and Mayes, {Edwin L.H.} and Dan Yang and Pham, {Duy Quang} and Lin, {Keng Te} and Mouritz, {Adrian P.} and Ang, {Andrew S.M.} and Bronwyn Fox and Bo Zhu and Han Lin and Baohua Jia and Lau, {Kin Tak}",
note = "Funding Information: This project is supported by a Swinburne University of Technology research grant (SUPRA). The authors acknowledge the technical assistance provided by the Smart Structures Laboratory, Swinburne University of Technology, and RMIT Microscopy and Microanalysis Research Facility (RMMF), a linked lab of Microscopy Australia. K.C. acknowledges the support from Faculty of Science, Engineering and Technology HDR Publication Award. B.J. thanks the Australia Research Council through the Discovery Project scheme (DP190103186) and the Industrial Transformation Training Centres scheme (Grant No. IC180100005). A.B. and B.D. acknowledge access to computational resources at the NCI National Facility through the National Computational Merit Allocation Scheme supported by the Australian Government. This work was also supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. A.B. and B.D. also acknowledge support from the Queensland Cyber Infrastructure Foundation (QCIF) and the University of Queensland Research Computing Centre (RCC). Funding Information: This project is supported by a Swinburne University of Technology research grant (SUPRA). The authors acknowledge the technical assistance provided by the Smart Structures Laboratory, Swinburne University of Technology, and RMIT Microscopy and Microanalysis Research Facility (RMMF), a linked lab of Microscopy Australia. K.C. acknowledges the support from Faculty of Science, Engineering and Technology HDR Publication Award. B.J. thanks the Australia Research Council through the Discovery Project scheme ( DP190103186 ) and the Industrial Transformation Training Centres scheme (Grant No. IC180100005 ). A.B. and B.D. acknowledge access to computational resources at the NCI National Facility through the National Computational Merit Allocation Scheme supported by the Australian Government. This work was also supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia . A.B. and B.D. also acknowledge support from the Queensland Cyber Infrastructure Foundation (QCIF) and the University of Queensland Research Computing Centre (RCC). Publisher Copyright: {\textcopyright} 2020 Elsevier B.V.",
year = "2021",
month = jan,
day = "15",
doi = "10.1016/j.jpowsour.2020.229020",
language = "English",
volume = "482",
journal = "Journal of Power Sources",
issn = "0378-7753",
publisher = "Elsevier B.V.",
}