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
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Associate Professor of Energy Science Engineering and Senior Fellow at the Precourt Institute for Energy -
Associate Professor of Materials Science and Engineering, of Energy Science and Engineering, of Photon Science, and Senior Fellow at the Precourt Institute for Energy
