Data-Driven Optimization of High-Dimensional Variables in Proton Exchange Membrane Water Electrolysis Membrane Electrode Assembly Assisted by Machine Learning
Yipeng Zhang,
Aidong Tan,
Zhuolin Yuan
et al.
Abstract:The optimization of the membrane electrode assembly (MEA) is crucial for enhancing the performance of proton exchange membrane water electrolysis. Nevertheless, achieving global optimization of all manufacturing parameters of the MEA poses challenges due to their high-dimensional complexity and limited experimental data. In this study, machine learning (ML) techniques were introduced to tackle this intricate engineering challenge. 58 MEAs were fabricated and tested to construct a comprehensive database enriche… Show more
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