Data Science
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StorageX leverages Stanford's world-leading Computer Science faculty to bring cutting-edge data science approaches into energy storage research and development. Faculty use machine learning methods to predict promising new materials and develop optimal experimental design algorithms that accelerate development and testing of new materials and concepts.
Faculty
Associate Professor of Materials Science and Engineering, of Energy Science and Engineering and Senior Fellow at the Precourt Institute for Energy
Assistant Professor of Energy Science Engineering and, by courtesy, of Electrical Engineering
