Predicting the optimal dopant concentration in gadolinium doped ceria

A kinetic lattice Monte Carlo approach

Pratik P. Dholabhai, Shahriar Anwar, James Adams, Peter Crozier, Renu Sharma

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Gadolinium doped ceria (GDC) is a promising alternative electrolyte material for solid oxide fuel cells that offers the possibility of operation in the intermediate temperature range (773-1073 K). To determine the optimal dopant concentration in GDC, we have employed a systematic approach of applying a 3D kinetic lattice Monte Carlo (KLMC) model of vacancy diffusion in conjunction with previously calculated activation energies for vacancy migration in GDC as inputs. KLMC simulations were performed including the vacancy repelling effects in GDC. Increasing the dopant concentration increases the vacancy concentration, which increases the ionic conductivity. However, at higher concentrations, vacancy-vacancy repulsion impedes vacancy diffusion, and together with vacancy trapping by dopants decreases the ionic conductivity. The maximum ionic conductivity is predicted to occur at ≈20% to 25% mole fraction of Gd dopant. Placing Gd dopants in pairs, instead of randomly, was found to decrease the conductivity by ≈50%. Overall, the trends in ionic conductivity results obtained using the KLMC model developed in this work are in reasonable agreement with the available experimental data. This KLMC model can be applied to a variety of ceria-based electrolyte materials for predicting the optimum dopant concentration.

Original languageEnglish (US)
Article number015004
JournalModelling and Simulation in Materials Science and Engineering
Volume20
Issue number1
DOIs
StatePublished - Jan 2012

Fingerprint

Gadolinium
Vacancy
Cerium compounds
gadolinium
Vacancies
Kinetics
Doping (additives)
Conductivity
kinetics
Ionic conductivity
ion currents
Electrolyte
Crystal lattices
Electrolytes
electrolytes
Solid Oxide Fuel Cell
Decrease
mole
Activation Energy
solid oxide fuel cells

ASJC Scopus subject areas

  • Modeling and Simulation
  • Condensed Matter Physics
  • Materials Science(all)
  • Mechanics of Materials
  • Computer Science Applications

Cite this

Predicting the optimal dopant concentration in gadolinium doped ceria : A kinetic lattice Monte Carlo approach. / Dholabhai, Pratik P.; Anwar, Shahriar; Adams, James; Crozier, Peter; Sharma, Renu.

In: Modelling and Simulation in Materials Science and Engineering, Vol. 20, No. 1, 015004, 01.2012.

Research output: Contribution to journalArticle

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