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Machine-Learning-Based Efficient Parameterspace Exploration for Energy Storage Systems
Published Web Location
https://doi.org/10.1149/ma2024-023394mtgabsAbstract
Machine learning Gaussian Process analysis is applied to search an experimental 4D parameter space that includes temperature, C rate, maximum SOC, and cycle number. Predictions are made for any point in parameter space, together with the uncertainty in each prediction
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