Knowledge Discovery In Nanophotonics Using Geometric Deep Learning

no code implementations • 16 Sep 2019 • Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi

More importantly, the one-class SVM algorithm can be trained to provide the degree of feasibility (or unfeasibility) of a response from a given nanostructure.

Dimensionality Reduction

Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices

no code implementations • 7 May 2019 • Yashar Kiarashinejad, Sajjad Abdollahramezani, Mohammadreza Zandehshahvar, Omid Hemmatyar, Ali Adibi

In this paper, we present a deep learning-based (DL-based) algorithm, as a purely mathematical platform, for providing intuitive understanding of the properties of electromagnetic (EM) wave-matter interaction in nanostructures.

Dimensionality Reduction