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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Combined Density Functional Theory and Molecular Dynamics Simulations To Investigate the Effects of Quantum and Double-Layer Capacitances in Functionalized Graphene as the Electrode Material of Aqueous-Based Supercapacitors

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Author(s):
da Silva, Debora A. C. [1] ; Paulista Neto, Antenor J. [1] ; Pascon, Aline M. [1] ; Fileti, Eudes E. [2] ; Fonseca, Leonardo R. C. [3] ; Zanin, Hudson G. [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, Ctr Innovat New Energies, Sch Elect & Comp Engn, Carbon Sci Tech Labs, Adv Energy Storage Div, BR-13083852 Campinas, SP - Brazil
[2] Univ Fed Sao Paulo, Inst Sci & Technol, BR-12247014 Sao Jose Dos Campos, SP - Brazil
[3] Univ Fed Minas Gerais, Dept Phys, BR-31270901 Belo Horizonte, MG - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Journal of Physical Chemistry C; v. 125, n. 10, p. 5518-5524, MAR 18 2021.
Web of Science Citations: 0
Abstract

We report on DFT and MD simulations to investigate the contributions of quantum and double-layer capacitances in the total differential capacitance of functionalized graphene as the electrode material of aqueous-based supercapacitors. We consider the effects of nitrogen and oxygen incorporation in graphene quantum and double capacitance in four different supercapacitor models in the presence of aqueous electrolytes LiSO4 and LiTFSI. We found that the total differential capacitance is limited by the double-layer capacitance. Our best electrode/electrolyte model was obtained with a symmetric supercapacitor assembled with epoxy/hydroxyl-functionalized graphene electrodes filled with 1 M LiSO4 electrolyte. It achieved a higher double-layer capacitance among all investigated systems over the entire potential window, thus offering better performance in energy storage. (AU)

FAPESP's process: 17/11958-1 - CINE - Advanced Energy Storage Division
Grantee:Rubens Maciel Filho
Support Opportunities: Research Grants - Research Centers in Engineering Program
FAPESP's process: 17/11631-2 - CINE: computational materials design based on atomistic simulations, meso-scale, multi-physics, and artificial intelligence for energy applications
Grantee:Juarez Lopes Ferreira da Silva
Support Opportunities: Research Grants - Research Centers in Engineering Program