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UC Berkeley Nuclear Engineering Department

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Searching for Thermal Energy Storage Media with Machine Learning

We are preparing the database for training an interactive ML algorithm to explore new phase change materials to be used as thermal energy storage media. Our goal is to use one of the scientific material property search engines, e.g., Matminer, to pull physics descriptors from existing material databases.

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