2020
DOI: 10.1016/j.jpowsour.2020.228771
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Microstructure optimization of porous mixed ionic and electronic conducting cathode for solid oxide fuel cells

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Cited by 21 publications
(3 citation statements)
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“…He et al applied the numerical simulation using level-set and adjoint methods to optimize the porous LSCF microstructure [452][453][454]. It was shown that the spherical LSCF solid particles were preferable for performance improvement [452].…”
Section: Improvement Of the Electrode-electrolyte Interfacementioning
confidence: 99%
“…He et al applied the numerical simulation using level-set and adjoint methods to optimize the porous LSCF microstructure [452][453][454]. It was shown that the spherical LSCF solid particles were preferable for performance improvement [452].…”
Section: Improvement Of the Electrode-electrolyte Interfacementioning
confidence: 99%
“…As a matter of fact, the explorations of the correlation between microstructures and mechanical properties and electrochemical performance of SOFC electrodes (anode and cathode) have been attempted for over decades through both experimental (7-9) and numerical investigations (10)(11)(12). With the advent of the 3D microstructure analytical techniques such as X-ray tomography and FIB-SEM tomography, the mechanical properties and electrochemical performance can be evaluated based on the 3D microstructures of the electrodes by established physical models.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the subsequent 3D numerical simulation 11 disclosed that the local activation overpotential and current density are highly distributed in a microstructure scale, which cannot be captured by continuum level EMT. In addition to the fundamental studies of electrode reactions, computational optimization of electrode microstructures by using Level-set function (for LSCF cathode) 12 or genetic algorithm and particle swarm optimization (for Ni/YSZ anode) 13 have been proposed. These optimization problems are conducted to maximize the reaction current based on numerical simulations.…”
mentioning
confidence: 99%