445 citations · 1k across the 6 of their papers we have counts for
6 papers
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…
Full color generation with Fano-type resonant HfO nanopillars designed by a deep-learning approach
Omid Hemmatyar, Sajjad Abdollahramezani, Yashar Kiarashinejad +2
In contrast to lossy plasmonic metasurfaces (MSs), wideband dielectric MSs comprising of subwavelength nanostructures supporting Mie resonances are of great interest in the visible…
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…
Deep learning approach based on dimensionality reduction for designing electromagnetic nanostructures
Yashar Kiarashinejad, Sajjad Abdollahramezani, Ali Adibi
In this paper, we demonstrate a computationally efficient new approach based on deep learning (DL) techniques for analysis, design, and optimization of electromagnetic (EM) nanostr…