activity
20172022
most citedThermo-Optic Properties of Silicon-Rich Silicon Nitride for On-chip Applications

65 citations · 119 across the 5 of their papers we have counts for

collaborators

6 papers

physics.optics2022★ 6 cited

Realization of a wide steering end-fire facet optical phased array using silicon rich silicon nitride

Hani Nejadriahi, Prabhav Gaur, Karl Johnson +3

The design, fabrication, and characterization of a 16-element optical phased array (OPA) using a high index (n = 3.1) silicon rich silicon nitride (SRN) is demonstrated. We present…

physics.optics2021★ 16 cited

Demonstration of the DC-Kerr Effect in Silicon-Rich Nitride

Alex Friedman, Hani Nejadriahi, Rajat Sharma +1

We demonstrate the DC-Kerr effect in PECVD Silicon-rich Nitride (SRN) and use it to demonstrate a third order nonlinear susceptibility, \c{hi}^((3)), as high as (6 +/- 0.58)x10-19…

physics.app-ph2021★ 31 cited

Efficient and compact thermo-optic phase shifter in silicon-rich silicon nitride

Hani Nejadriahi, Steve Pappert, Yeshaiahu Fainman +1

The design, fabrication, and characterization of low loss ultra-compact bends in high index (n = 3.1 at λ = 1550 nm) PECVD silicon rich silicon nitride (SRN) is demonstrated and ut…

physics.app-ph2020★ 65 cited

Thermo-Optic Properties of Silicon-Rich Silicon Nitride for On-chip Applications

Hani Nejadriahi, Alex Friedman, Rajat Sharma +3

We demonstrate the thermo-optic properties of silicon-rich silicon nitride (SRN) films deposited using plasma-enhanced chemical vapor deposition (PECVD). Shifts in the spectral res…

eess.SP2017★ 1 cited

Integrated All-Optical Fast Fourier Transform: Design and Sensitivity Analysis

Hani Nejadriahi, David HillerKuss, Jonathan K. George +1

The fast Fourier transform, FFT, is a useful and prevalent algorithm in signal processing. It characterizes the spectral components of a signal, or is used in combination with othe…

cs.ET2017

Towards On-Chip Optical FFTs for Convolutional Neural Networks

Jonathan George, Hani Nejadriahi, Volker Sorger

Convolutional neural networks have become an essential element of spatial deep learning systems. In the prevailing architecture, the convolution operation is performed with Fast Fo…