Fuel Cell Store has collaborated with several universities in Australia on an article that uses Artificial Intelligence and Machine Learning to model water generation at the cathode of a fuel cell and the diffusion of water through gas diffusion layers. The article was published in Nature Communications with work done by Quentin Meyer, Ying Da Wang, Kunning Tang, Peyman Mostaghimi, Ryan T. Armstrong, Chuan Zhao, James E. McClure, Robin T. White, Stephen T. Kelly, Matthew M. Crawford (Fuel Cell Store), Francesco Iacoviello, Paul R. Shearing, and Dan J. L. Brett.
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