نسخة أولية وصول مفتوح
An Efficient Machine Learning Approach for Degradation Forecasting in AEM Water Electrolysis
This study provides a data-driven analysis of a novel dataset of single-cell Anion Exchange Membrane water electrolyzers (AEMWE), operated under constant current load across multiple heterogeneous experimental campaigns. We train and evaluate a range of machine learning models with different complexity, including linea …