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Machine learning-powered characterization of lipid nanoparticles (LNPs) using physics-based simulations and SAXS analysis. Our CNN and ResNet models enable rapid, cost-effective classification and size distribution prediction, offering an alternative to cryo-EM for nanomedicine applications.