Literature DB >> 26884129

Contribution of Dielectric Screening to the Total Capacitance of Few-Layer Graphene Electrodes.

Cheng Zhan1, De-en Jiang1.   

Abstract

We apply joint density functional theory (JDFT), which treats the electrode/electrolyte interface self-consistently, to an electric double-layer capacitor (EDLC) based on few-layer graphene electrodes. The JDFT approach allows us to quantify a third contribution to the total capacitance beyond quantum capacitance (CQ) and EDL capacitance (CEDL). This contribution arises from the dielectric screening of the electric field by the surface of the few-layer graphene electrode, and we therefore term it the dielectric capacitance (CDielec). We find that CDielec becomes significant in affecting the total capacitance when the number of graphene layers in the electrode is more than three. Our investigation sheds new light on the significance of the electrode dielectric screening on the capacitance of few-layer graphene electrodes.

Entities:  

Year:  2016        PMID: 26884129     DOI: 10.1021/acs.jpclett.6b00047

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  5 in total

1.  Evaluating continuum solvation models for the electrode-electrolyte interface: Challenges and strategies for improvement.

Authors:  Ravishankar Sundararaman; Kathleen Schwarz
Journal:  J Chem Phys       Date:  2017-02-28       Impact factor: 3.488

2.  JDFTx: software for joint density-functional theory.

Authors:  Ravishankar Sundararaman; Kendra Letchworth-Weaver; Kathleen A Schwarz; Deniz Gunceler; Yalcin Ozhabes; T A Arias
Journal:  SoftwareX       Date:  2017-11-14

3.  The Influence of Anion Shape on the Electrical Double Layer Microstructure and Capacitance of Ionic Liquids-Based Supercapacitors by Molecular Simulations.

Authors:  Ming Chen; Song Li; Guang Feng
Journal:  Molecules       Date:  2017-02-16       Impact factor: 4.411

4.  Multilayer CVD graphene electrodes using a transfer-free process for the next generation of optically transparent and MRI-compatible neural interfaces.

Authors:  Nasim Bakhshaee Babaroud; Merlin Palmar; Andrada Iulia Velea; Chiara Coletti; Sebastian Weingärtner; Frans Vos; Wouter A Serdijn; Sten Vollebregt; Vasiliki Giagka
Journal:  Microsyst Nanoeng       Date:  2022-09-26       Impact factor: 8.006

Review 5.  Computational Insights into Materials and Interfaces for Capacitive Energy Storage.

Authors:  Cheng Zhan; Cheng Lian; Yu Zhang; Matthew W Thompson; Yu Xie; Jianzhong Wu; Paul R C Kent; Peter T Cummings; De-En Jiang; David J Wesolowski
Journal:  Adv Sci (Weinh)       Date:  2017-04-24       Impact factor: 16.806

  5 in total

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