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From Microstructure to Macroscopic Performance: An optimization pipeline for solid oxide fuel cell microstructures
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DOI：10.1016/j.jpowsour.2026.240184.png)
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Abstract
En 中文
• Flexible and multiscale optimization pipe-line for solid oxide fuel cells. • Integration of experiments, microstructure reconstruction, and multiphysics modeling. • Application of sophisticated simulation chains to optimize the Ni-YSZ anode. • Machine learning surrogate models for optimal electrode microstructure design. • Validation of fast and accurate framework to maximize the power density of the cell.
Keywords:
Optimization pipeline
Solid oxide fuel cells
Electrode microstructure
Multiscale modeling
Multiphysics modeling
Surrogate modeling
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