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galpynostatic


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Author: Francisco Fernandez
License: MIT License Copyright (c) 2022-2023 Francisco Fernandez Copyright (c) 2024 Francisco Fernandez, Maximiliano Gavilán, Andrés Ruderman Permission is hereby gran...
Summary: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries.
Latest version: 0.5.14
Required dependencies: importlib-metadata | matplotlib | numpy | pandas | pyyaml | scikit-learn | scipy

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