Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Modelling electrochemical systems with finite field molecular dynamics

Zhang, Chao; Sayer, Thomas; Hutter, Jürg; Sprik, Michiel (2020). Modelling electrochemical systems with finite field molecular dynamics. JPhys Energy, 2(3):032005.

Abstract

Physical chemistry of electric double layers and ionic solutions plays a fundamental role in energy related applications such as electrocatalysis, super-capacitors, fuel cells, lithium/sodium ion batteries. A realistic representation of these electrochemical systems requires treating electronic, structural and dynamic properties on an equal footing. Density functional theory based molecular dynamics (DFTMD) is perhaps the only approach that can provide a consistent atomistic description. However, one of the challenges in DFTMD modelling of electrochemical systems is the slow convergence of the polarization $\mathbf{P}$, where $\mathbf{P}$ is the central quantity connecting to all electrical properties (the dielectric constant, the Helmholtz capacitance and the ionic conductivity). Here, we summarize our recent progress on developing finite field MD for computing electrical properties. Discussions on notable extensions and outlook for future works are also given.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Chemistry
Dewey Decimal Classification:540 Chemistry
Scopus Subject Areas:Physical Sciences > General Energy
Physical Sciences > Materials Chemistry
Physical Sciences > Materials Science (miscellaneous)
Language:English
Date:13 July 2020
Deposited On:03 Dec 2020 16:24
Last Modified:23 Mar 2025 02:40
Publisher:IOP Publishing
ISSN:2515-7655
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1088/2515-7655/ab9d8c
Download PDF  'Modelling electrochemical systems with finite field molecular dynamics'.
Preview
  • Content: Published Version
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
50 citations in Web of Science®
53 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

147 downloads since deposited on 03 Dec 2020
36 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications