Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 36569544.
- Also identified by DOI 10.1016/j.patter.2022.100654 and PMC identifier 9768674.
- Licence recorded as CC BY-NC-ND.
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Abstract
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.