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SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging

SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging Scientists have made a major advance in harnessing machine learning to accelerate the design for better batteries. Instead of using machine learning just to speed up scientific analysis by looking for patterns in data—as typically done—the researchers combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shorten...
Stephen Kang Stephen Dongmin Kang Department Of Energy Massachusetts Institute Of Technology Battery Materials Research Program Toyota Research Institute

In a leap for battery research, machine learning gets scientific smarts

Loading video... VIDEO: SLAC and Stanford researcher Will Chueh talks about a new way to incorporate scientific insight into machine learning for battery research - an approach that will speed up development of... view more  Credit: Olivier Bonin/SLAC National Accelerator Laboratory Menlo Park, Calif. -- Scientists have taken a major step forward in harnessing machine learning to accelerate the design for better batteries: Instead of using it just to speed up scientific analysis by looki...
United States Stephen Dongmin Kang Martin Bazant Chongbo Zhao Department Of Energy Massachusetts Institute Of Technology

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