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Ionic conductivity in Gd-doped CeO2: Ab initio color-diffusion nonequilibrium molecular dynamics study
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.ORCID iD: 0000-0001-6083-091X
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.ORCID iD: 0000-0002-3933-9066
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2016 (English)In: Physical Review B. Condensed Matter and Materials Physics, ISSN 1098-0121, E-ISSN 1550-235X, Vol. 93, no 2, 024102Article in journal (Refereed) PublishedText
Abstract [en]

A first-principles nonequilibrium molecular dynamics (NEMD) study employing the color-diffusion algorithm has been conducted to obtain the bulk ionic conductivity and the diffusion constant of gadolinium-doped cerium oxide (GDC) in the 850-1150 K temperature range. Being a slow process, ionic diffusion in solids usually requires simulation times that are prohibitively long for ab initio equilibrium molecular dynamics. The use of the color-diffusion algorithm allowed us to substantially speed up the oxygen-ion diffusion. The key parameters of the method, such as field direction and strength as well as color-charge distribution, have been investigated and their optimized values for the considered system have been determined. The calculated ionic conductivity and diffusion constants are in good agreement with available experimental data.

Place, publisher, year, edition, pages
American Physical Society , 2016. Vol. 93, no 2, 024102
Keyword [en]
National Category
Physical Sciences
URN: urn:nbn:se:kth:diva-181360DOI: 10.1103/PhysRevB.93.024102ISI: 000367662100002ScopusID: 2-s2.0-84955318200OAI: diva2:900864
Swedish Energy Agency, 355151Carl Tryggers foundation , CTS 14:433Swedish Research Council, 637-2013-7296Swedish Research Council, 2014-4750Swedish Research Council, 2014-5993

QC 20160205

Available from: 2016-02-05 Created: 2016-02-01 Last updated: 2016-09-13Bibliographically approved
In thesis
1. First-principles studies of kinetic effects in energy-related materials
Open this publication in new window or tab >>First-principles studies of kinetic effects in energy-related materials
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Quantum mechanical calculations based on first-principles (lat. ab initio) methods have over the past decades proved very successful for the study of many materials properties. Based solely on the fundamental constants of physics, the strength of these methods lies not only in describing existing materials, but also in predicting completely new ones. This thesis contains work both related to the quest for improved materials, and to the development of new methods.

Equilibrium ab initio molecular dynamics methods are powerful for simulating diffusion in solids but are accompanied with high computational costs. This is related to the inherent slowness of the diffusion process in solids. To tackle this problem, we implement the color-diffusion algorithm into the Vienna ab initio simulation package to perform non-equilibrium ab initio molecular dynamics (NEMD) simulations. Ion diffusion in ceria doped with Gd and Sm is studied, and the calculated conductivities is found to agree well with experiment. However, although the NEMD method significantly lowers the computational cost, statistical quality in the calculated conductivity still comes expensive. Knowing the error resulting from limited statistics is therefore important.

We derive an analytical expression for the error in calculated ion conductivity, which is verified numerically using the Kinetic Monte Carlo (KMC) method. Being developed particularly for the simulation of slow events, the great advantage of the KMC method over the NEMD method is that it is much less computationally expensive. This allows for long simulation times and large system sizes. The effect of dopant type and dopant distribution on the oxygen ion diffusivity is investigated with KMC simulations of rare-earth doped ceria. The full set of diffusion barriers in the simulation cell is calculated from first-principles within a density functional theory (DFT) framework.

This Thesis also includes a study of processes involving water on a rutile TiO2(110) surface. The basic processes are: diffusion, dissociation, recombination, and clustering of water molecules. The barriers for these processes are calculated with DFT employing different exchange-correlation (XC) functionals. Using the barriers calculated from two XC functionals, we perform KMC simulations and find that the choice of XC functional radically alters the dynamics of the simulated water-titania system.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 68 p.
National Category
Materials Engineering
Research subject
Materials Science and Engineering
urn:nbn:se:kth:diva-192343 (URN)9789177291022 (ISBN)
External cooperation:
Public defence
2016-10-07, F3, Lindstedsvägen 26, Stockholm, 09:00 (English)

QC 20160913

Available from: 2016-09-13 Created: 2016-09-09 Last updated: 2016-09-13Bibliographically approved

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Nilsson, Johan O.Vekilova, Olga YuSkorodumova, Natalia V.
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