“…Other standard scattering methods, such as small-angle scattering, have also received considerable attention, especially for classification tasks (Song et al, 2020;Ikemoto et al, 2020;Franke et al, 2018;Archibald et al, 2020;Chang et al, 2020). For nonstandard coherent scattering methods, such as X-ray photon correlation spectroscopy (XPCS), ML-based analysis using autoencoders has been employed (Konstantinova et al, 2021;Timmermann et al, 2022). For a more general review of ML methods for scattering we refer to a recent review, which also discusses applications in the broader context of scattering experiments, such as spectroscopy methods, theoretical calculations, automated alignment procedures, beam optimization and data filtering (Chen et al, 2021).…”