activity
20192021
collaborators

5 papers

cs.LG2021

A deep learning approach for inverse design of the metasurface for dual-polarized waves

Fardin Ghorbani, Javad Shabanpour, Sina Beyraghi +3

Compared to the conventional metasurface design, machine learning-based methods have recently created an inspiring platform for an inverse realization of the metasurfaces. Here, we…

eess.SP2021

Deep neural network-based automatic metasurface design with a wide frequency range

Fardin Ghorbani, Sina Beyraghi, Javad Shabanpour +3

Beyond the scope of conventional metasurface which necessitates plenty of computational resources and time, an inverse design approach using machine learning algorithms promises an…

physics.optics2021

Implementation of conformal digital metasurfaces for THz polarimetric sensing

Javad Shabanpour, Sina Beyraghi, Fardin Ghorbani +1

Monitoring and controlling the state of polarization of electromagnetic waves is of significant interest for various basic and practical applications such as linear position sensin…

physics.app-ph2020

Reconfigurable honeycomb metamaterial absorber having incident angular stability

Javad Shabanpour, Sina Beyraghi, Homayoon Oraizi

Ultrawide-angle electromagnetic wave absorbers with excellent mechanical properties are required in many diverse applications such as sensing, and stealth technologies. Here, a nov…

physics.app-ph2019

Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering

Javad Shabanpour, Sina Beyraghi, Ahmad Cheldavi

In this paper, for the first time, a new generation of ultrafast reprogrammable multi-mission bias encoded metasurface is proposed for dynamic THz wavefront engineering by employin…