Open AccessMachine learning for guiding high-temperature PEM fuel cells with greater power density
Author(s) -
Luis Briceño-Mena,
Gokul Venugopalan,
José A. Romagnoli,
Christopher G. Arges
Publication year - 2021
Publication title -
patterns
Language(s) - English
Resource type - Journals
ISSN - 2666-3899
DOI - 10.1016/j.patter.2020.100187
Subject(s) - proton exchange membrane fuel cell , polarization (electrochemistry) , power density , cluster analysis , computer science , electrolyte , hydrogen , fuel cells , support vector machine , materials science , power (physics) , chemistry , machine learning , chemical engineering , engineering , thermodynamics , physics , electrode , organic chemistry
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