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 looking for patterns in data, as researchers generally do, they combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries.