Computational modelling of ceria-based solid oxide fuel cell electrolyte materials

Mohamed Ahmed, David Rodley, Thomas D.A. Jones, Amin Abdolvand, Alison E. Lightfoot, Herbert Früchtl, Richard T. Baker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A simulation methodology for calculating the lattice parameter and oxygen ion migration energy of ceria-based electrolyte formulations is devised. The results are analysed and benchmarked against experimentally obtained values to verify the efficacy of the simulation methodology. A total of 26, 2 x 2 x 2 samarium (Sm)- and gadolinium (Gd)-doped supercells of different compositions and doping profiles were modelled and simulated by molecular mechanics force field methods using CP2K. The results of the computational simulations are comparable with those obtained experimentally, especially when there are equal amounts of Sm and Gd dopants in the structure. Simulation results can also provide insights into the mechanisms of ionic conduction. The incongruence of the computational and experimental results is attributed to the limitations of the molecular mechanics force field methodology utilised, with the expectation that an ab initio density functional theory (DFT) calculation would yield closer conformance.

Original languageEnglish
Title of host publication17th International Symposium on Solid Oxide Fuel Cells, SOFC 2021
PublisherIOP Publishing Ltd.
Pages931-947
Number of pages17
ISBN (Electronic)9781607685395
DOIs
Publication statusE-pub ahead of print - 18 Jul 2021
Event17th International Symposium on Solid Oxide Fuel Cells -
Duration: 18 Jul 202123 Jul 2021
Conference number: XVII
https://www.electrochem.org/sofc-xvii/

Publication series

NameECS Transactions
PublisherECS
Number1
Volume103
ISSN (Print)1938-6737
ISSN (Electronic)1938-5862

Conference

Conference17th International Symposium on Solid Oxide Fuel Cells
Abbreviated titleSOFC
Period18/07/2123/07/21
Internet address

Fingerprint

Dive into the research topics of 'Computational modelling of ceria-based solid oxide fuel cell electrolyte materials'. Together they form a unique fingerprint.

Cite this