collaborators

5 papers

physics.optics2020

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…

physics.optics2020

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…

physics.optics2019

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…

physics.app-ph2019

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…

cs.LG2019

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…