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Researchers from SLAC, Stanford, MIT, and Toyota Research Institute have used machine learning to analyze X-ray movies of lithium ions flowing in and out of battery electrode nanoparticles. The new method has already suggested a way to make the billions of nanoparticles in one type of lithium-ion battery electrode store and release charge more efficiently. The machine learning technique used is called computer vision, which allows researchers to extract pixel-by-pixel information from nanoscale X-ray movies.
