A VAE trained on simulated small-angle scattering of polydisperse hard spheres generates scattering curves more accurately than Percus-Yevick theory and recovers volume fraction and polydispersity from test curves to within roughly 0.4%.
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Deciphering the Small-Angle Scattering of Polydisperse Hard Spheres using Deep Learning
A VAE trained on simulated small-angle scattering of polydisperse hard spheres generates scattering curves more accurately than Percus-Yevick theory and recovers volume fraction and polydispersity from test curves to within roughly 0.4%.