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An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene

The Li(+) diffusion coefficients in Li(+)-adsorbed graphene systems were determined by combining first-principle calculations based on density functional theory with Kinetic Monte Carlo simulations. The calculated results indicate that the interactions between Li ions have a very important influence...

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Autores principales: Zhong, Kehua, Yang, Yanmin, Xu, Guigui, Zhang, Jian-Min, Huang, Zhigao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551804/
https://www.ncbi.nlm.nih.gov/pubmed/28773122
http://dx.doi.org/10.3390/ma10070761
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author Zhong, Kehua
Yang, Yanmin
Xu, Guigui
Zhang, Jian-Min
Huang, Zhigao
author_facet Zhong, Kehua
Yang, Yanmin
Xu, Guigui
Zhang, Jian-Min
Huang, Zhigao
author_sort Zhong, Kehua
collection PubMed
description The Li(+) diffusion coefficients in Li(+)-adsorbed graphene systems were determined by combining first-principle calculations based on density functional theory with Kinetic Monte Carlo simulations. The calculated results indicate that the interactions between Li ions have a very important influence on lithium diffusion. Based on energy barriers directly obtained from first-principle calculations for single-Li(+) and two-Li(+) adsorbed systems, a new equation predicting energy barriers with more than two Li ions was deduced. Furthermore, it is found that the temperature dependence of Li(+) diffusion coefficients fits well to the Arrhenius equation, rather than meeting the equation from electrochemical impedance spectroscopy applied to estimate experimental diffusion coefficients. Moreover, the calculated results also reveal that Li(+) concentration dependence of diffusion coefficients roughly fits to the equation from electrochemical impedance spectroscopy in a low concentration region; however, it seriously deviates from the equation in a high concentration region. So, the equation from electrochemical impedance spectroscopy technique could not be simply used to estimate the Li(+) diffusion coefficient for all Li(+)-adsorbed graphene systems with various Li(+) concentrations. Our work suggests that interactions between Li ions, and among Li ion and host atoms will influence the Li(+) diffusion, which determines that the Li(+) intercalation dependence of Li(+) diffusion coefficient should be changed and complex.
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spelling pubmed-55518042017-08-11 An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene Zhong, Kehua Yang, Yanmin Xu, Guigui Zhang, Jian-Min Huang, Zhigao Materials (Basel) Article The Li(+) diffusion coefficients in Li(+)-adsorbed graphene systems were determined by combining first-principle calculations based on density functional theory with Kinetic Monte Carlo simulations. The calculated results indicate that the interactions between Li ions have a very important influence on lithium diffusion. Based on energy barriers directly obtained from first-principle calculations for single-Li(+) and two-Li(+) adsorbed systems, a new equation predicting energy barriers with more than two Li ions was deduced. Furthermore, it is found that the temperature dependence of Li(+) diffusion coefficients fits well to the Arrhenius equation, rather than meeting the equation from electrochemical impedance spectroscopy applied to estimate experimental diffusion coefficients. Moreover, the calculated results also reveal that Li(+) concentration dependence of diffusion coefficients roughly fits to the equation from electrochemical impedance spectroscopy in a low concentration region; however, it seriously deviates from the equation in a high concentration region. So, the equation from electrochemical impedance spectroscopy technique could not be simply used to estimate the Li(+) diffusion coefficient for all Li(+)-adsorbed graphene systems with various Li(+) concentrations. Our work suggests that interactions between Li ions, and among Li ion and host atoms will influence the Li(+) diffusion, which determines that the Li(+) intercalation dependence of Li(+) diffusion coefficient should be changed and complex. MDPI 2017-07-06 /pmc/articles/PMC5551804/ /pubmed/28773122 http://dx.doi.org/10.3390/ma10070761 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhong, Kehua
Yang, Yanmin
Xu, Guigui
Zhang, Jian-Min
Huang, Zhigao
An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title_full An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title_fullStr An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title_full_unstemmed An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title_short An Ab Initio and Kinetic Monte Carlo Simulation Study of Lithium Ion Diffusion on Graphene
title_sort ab initio and kinetic monte carlo simulation study of lithium ion diffusion on graphene
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551804/
https://www.ncbi.nlm.nih.gov/pubmed/28773122
http://dx.doi.org/10.3390/ma10070761
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