This model makes predictions on LNP Encapsulation Efficiency % based on training data acquired from the LNP Atlas project

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.