Deep learning for x-ray or neutron scattering under grazing-incidence: extraction of distributions
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DOI: 10.1088/2053-1591/abd590
Abstract: Grazing-incidence small-angle scattering (GISAS) is a technique of significant importance for the investigation of thin multilayered films containing nano-sized objects. It provides morphology information averaged over the sample area. However, this averaging together with multiple… read more here.
Keywords: incidence; ray neutron; learning ray; deep learning ... See more keywords
Machine-Learning X-Ray Absorption Spectra to Quantitative Accuracy.
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DOI: 10.1103/physrevlett.124.156401
Abstract: Simulations of excited state properties, such as spectral functions, are often computationally expensive and therefore not suitable for high-throughput modeling. As a proof of principle, we demonstrate that graph-based neural networks can be used to… read more here.
Keywords: machine learning; ray absorption; quantitative accuracy; learning ray ... See more keywords