Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning

Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning

Accurate liquid water modelling is challenging. Here the authors use X-ray micro-computed tomography, deep learned super-resolution, multi-label segmentation, and direct multiphase simulation to simulate fuel cell and guide fuel cell design.

Bibliographic Details
Main Authors: Ying Da Wang, Quentin Meyer, Kunning Tang, James E. McClure, Robin T. White, Stephen T. Kelly, Matthew M. Crawford, Francesco Iacoviello, Dan J. L. Brett, Paul R. Shearing, Peyman Mostaghimi, Chuan Zhao, Ryan T. Armstrong
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-35973-8

Internet

https://doi.org/10.1038/s41467-023-35973-8

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