Computer vision helps SLAC scientists study lithium ion batteries

A new computer vision algorithm can better identify particles in an X-ray tomography image of a nickel-manganese-cobalt cathode. Older methods would mistake a single fractured particle for several different particles, while the new method can tell the difference.
May 8 2020
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Scientists at the Department of Energy's SLAC National Accelerator have combined machine learning algorithms with X-ray tomography data to better visualize what's going on in cathodes of nickel-manganese-cobalt (NMC). The goal was to develop a complete picture of how NMC particles break apart and break away from the matrix and how that contributes to performance losses.