First Principles and Genetic Algorithm Studies of Lanthanide Metal Oxides for Optimal Fuel Cell Electrolyte Design

First Principles and Genetic Algorithm Studies of Lanthanide Metal Oxides for Optimal Fuel Cell Electrolyte Design

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As the demand for clean and renewable energy sources continues to grow, much attention has been given to solid oxide fuel cells (SOFCs) due to their efficiency and low operating temperature. However, the components of SOFCs must still be improved before commercialization can be reached. Of particula...

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Bibliographic Details
Main Author: Ismail, Arif
Other Authors: Woo, Tom K.
Language:en
Published: Université d'Ottawa / University of Ottawa 2011
Subjects:
computational chemistry
materials science
solid electrolytes
ionic conductivity
diffusion
solid oxide fuel cells
density functional theory
simulation
energy
Online Access:http://hdl.handle.net/10393/20198
http://dx.doi.org/10.20381/ruor-4792
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