445 citations · 851 across the 6 of their papers we have counts for
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Manifold Learning for Knowledge Discovery and Intelligent Inverse Design of Photonic Nanostructures: Breaking the Geometric Complexity
Mohammadreza Zandehshahvar, Yashar Kiarashi, Muliang Zhu +3
Here, we present a new approach based on manifold learning for knowledge discovery and inverse design with minimal complexity in photonic nanostructures. Our approach builds on stu…
Dynamic hybrid metasurfaces
Sajjad Abdollahramezani, Omid Hemmatyar, Mohammad Taghinejad +10
Efficient hybrid plasmonic-photonic metasurfaces that simultaneously take advantage of the potential of both pure metallic and all-dielectric nanoantennas are identified as an emer…
Tunable nanophotonics enabled by chalcogenide phase-change materials
Sajjad Abdollahramezani, Omid Hemmatyar, Hossein Taghinejad +5
Nanophotonics has garnered intensive attention due to its unique capabilities in molding the flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated c…
Knowledge Discovery In Nanophotonics Using Geometric Deep Learning
Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani +3
We present here a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostr…
Deep Learning Reveals Underlying Physics of Light-matter Interactions in Nanophotonic Devices
Yashar Kiarashinejad, Sajjad Abdollahramezani, Mohammadreza Zandehshahvar +2
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…