Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783256359108608000 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5551804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhongkehua anabinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT yangyanmin anabinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT xuguigui anabinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT zhangjianmin anabinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT huangzhigao anabinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT zhongkehua abinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT yangyanmin abinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT xuguigui abinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT zhangjianmin abinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene AT huangzhigao abinitioandkineticmontecarlosimulationstudyoflithiumiondiffusionongraphene |