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Visual inspection of x-ray scattering images is a powerful technique forprobing the physical structure of materials at the molecular scale. In thispaper, we explore the use of deep learning to develop methods for automaticallyanalyzing x-ray scattering images. In particular, we apply Convolutional NeuralNetworks and Convolutional Autoencoders for x-ray scattering imageclassification. To acquire enough training data for deep learning, we usesimulation software to generate synthetic x-ray scattering images. Experimentsshow that deep learning methods outperform previously published methods by 10\%on synthetic and real datasets.

X-ray Scattering Image Classification Using Deep Learning