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Machine learning for continuous innovation in battery technologies

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TRI Authors: Muratahan Aykol, Patrick Herring, & Abraham Anapolsky All Authors: Muratahan Aykol, Patrick Herring, & Abraham Anapolsky

Batteries, as complex materials systems, pose unique challenges for the application of machine learning. Although a shift to data-driven, machine learning-based battery research has started, new initiatives in academia and industry are needed to fully exploit its potential. Read more

Citation: Aykol, Muratahan, Patrick Herring, Abraham Anapolsky. “Machine learning for continuous innovation in battery technologies.” Nature Reviews Materials (2020). https://doi.org/10.1038/s41578-020-0216-y

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