Flow Characteristics of Fibrous Gas Diffusion Layers Using Machine Learning Methods

Flow Characteristics of Fibrous Gas Diffusion Layers Using Machine Learning Methods

The material characteristics of gas diffusion layers are relevant for the efficient operation of polymer electrolyte fuel cells. The current state-of-the-art calculates these using transport simulations based on their micro-structures, either reconstructed or generated by means of stochastic geometr...

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Bibliographic Details
Main Authors: Dieter Froning, Jannik Wirtz, Eugen Hoppe, Werner Lehnert
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
PEFC
machine learning
lattice Boltzmann
stochastic modeling
Online Access:https://www.mdpi.com/2076-3417/12/23/12193

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