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. The objective of this thesis project is to develop hybrid models that integrate electrochemical principles with machine learning techniques to analyze data from electrolyzers, predict performance, assess lifespan
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significant room for improvement in terms of efficiency and lifespan. This requires the development and optimization of core-process materials, especially electrocatalysts and polymer electrolytes. By relying
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