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Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts.

In Patterns (New York, N.Y.)

Santos et al. (2022) propose a machine learning-based approach to identify various lithiated phases across lengthscales in X-ray images of battery particles, thus enabling automatic interpretation of such information in much bigger datasets and creating opportunities to unravel previously inaccessible scientific understanding.

Mistry Aashutosh, Srinivasan Venkat

2022-Dec-09