activity
20092023
most citedRoom temperature plasmon laser by total internal reflection

626 citations · 2.2k across the 92 of their papers we have counts for

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Showing 2020 · physics.opticsShow all

6 papers · 2 filters

physics.optics2020

Quantifying information via Shannon entropy in spatially structured optical beams

Maria Solyanik-Gorgone, Jiachi Ye, Mario Miscuglio +3

While information is ubiquitously generated, shared, and analyzed in a modern-day life, there is still some controversy around the ways to asses the amount and quality of informati…

physics.optics2020

Two-beam coupling by a hot electron nonlinearity

J. Paul, M. Miscuglio, Y. Gui +2

Transparent conductive oxides such as indium tin oxide (ITO) bear the potential to deliver efficient all-optical functionality due to their record-breaking optical nonlinearity at…

physics.optics2020

Hexagonal Transverse Coupled Cavity VCSEL Redefining the High-Speed Lasers

Elham Heidari, Hamed Dalir, Moustafa Ahmed +2

The vertical-cavity surface-emitting lasers (VCSELs) have emerged as a vital approach for realizing energy efficient, high speed optical interconnects in the data center and superc…

physics.optics2020★ 13 cited

Analog Computing with Metatronic Circuits

Mario Miscuglio, Yaliang Gui, Xiaoxuan Ma +5

Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming cur…

physics.optics2020★ 1 cited

Silicon nitride grating based planar spectral splitting concentrator for NIR light Harvesting

Ameen E, Mohammad H. Tahersima, Surendra Gupta +2

We design a multi-layered solar spectral splitting planar concentrator for near infrared (NIR) light energy harvesting application. Each layer includes a silicon nitride based subw…

physics.optics2020★ 2 cited

Integrated Photonic FFT for Optical Convolutions towards Efficient and High-Speed Neural Networks

Moustafa Ahmed, Yas Al-Hadeethi, Ahmed Bakry +2

The technologically-relevant task of feature extraction from data performed in deep-learning systems is routinely accomplished as repeated fast Fourier transforms (FFT) electronica…