Deep-learning application to the separation of variables method for light scattering by spheroids: optimal number of expansion terms and improved prolate radial spheroidal function calculation.
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DOI: 10.1364/oe.568481
Abstract: The spheroid model provides a first-order approximation to account for the effect of particle nonsphericity on light scattering. The separation of variables method (SVM) in the spheroidal coordinate system was recently employed to accurately compute… read more here.
Keywords: deep learning; light scattering; separation variables; variables method ... See more keywords