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AI-assisted structure reconstruction and multiphysics modeling of gas diffusion layers
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DOI：10.1016/j.egyai.2026.100843.png)
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Abstract
En 中文
• A closed-loop framework is developed for reconstruction and structure-resolved modeling. • A U-Net-based segmentation method improves accuracy and efficiency. • A reconstruction algorithm is developed to alter the porosity. • Transmission channel quantity and quality jointly determine performance.
Keywords:
Fuel cell
gas diffusion layer
multiphysics modeling
machine learning
mass transfer
Journal
IF:
9.6
Papers:
835
Citations:
3.1K
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