AI RESEARCH
Machine Learning Enabled Graph Analysis of Particulate Composites: Application to Solid-state Battery Cathodes
arXiv CS.CV
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ArXi:2512.16085v2 Announce Type: replace-cross Particulate composites underpin many solid-state chemical and electrochemical systems, where microstructural features such as multiphase boundaries and inter-particle connections strongly influence system performance. Advances in X-ray microscopy enable capturing large-scale, multimodal images of these complex microstructures with an unprecedentedly high throughput. However, harnessing these datasets to discover new physical insights and guide microstructure optimization remains a major challenge.