activity
20202026
most cited11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

1.5k citations · 1.7k across the 9 of their papers we have counts for

collaborators

9 papers

physics.optics2026

Soliton crystal formation in Kerr cavities with an avoided mode crossing: a theoretical study

Carlo Silvestri, Caitlin E. Murray, Chawaphon Prayoonyong +4

We theoretically and numerically investigate the formation of soliton crystals in Kerr microresonators in the presence of an avoided mode crossing (AMX). Our study combines dynamic…

physics.optics2026★ 3 cited

Ultra-high performance microwave spectral filters using optical microcombs

David J. Moss

Microwave photonic (MWP) filters are essential components in microwave systems due to their wide bandwidth, low loss, and immunity to electromagnetic interference. A sharp transiti…

physics.optics2025

On-chip GaAs carrier lifetime investigation

Chawaphon Prayoonyong, Crispin Szydzik, Guanghui Ren +5

We propose an alternative way to determine GaAs carrier lifetime using pump-probe measurement based on fibre optics and integrated waveguides. We find that our GaAs samples have th…

physics.optics2024

Turnkey deterministic soliton crystal generation

Xinyu Yang, Xiaotian Zhu, Caitlin Murray +9

The deterministic generation of robust soliton comb has significant meaning for the optical frequency combs to be widely used in various applications. As a novel form of microcomb,…

physics.optics2024★ 46 cited

Designing and analyzing microwave photonic spectral domain filters based on transversal filtering with optical microcombs

David J. Moss

Microwave transversal filters, which are implemented based on the transversal filter structure in digital signal processing, offer a high reconfigurability for achieving a variety…

physics.optics2024★ 18 cited

Microwave photonic transversal filters based on microcombs with feedback control

David J. Moss

Feedback control plays a crucial role in improving system accuracy and stability for a variety of scientific and engineering applications. Here, we theoretically and experimentally…

physics.optics2024★ 18 cited

The performance of microwave photonic signal processors based on microcombs with different input signal waveforms

David J. Moss

Microwave photonic (MWP) signal processors, which process microwave signals based on pho-tonic technologies, bring advantages intrinsic to photonics such as low loss, large process…

physics.optics2024★ 57 cited

Photonic real time video image signal processor at 17Tb/s based on a Kerr microcomb

Mengxi Tan, Xingyuan Xu, Andreas Boes +8

Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing. Image p…

cs.NE2020★ 1.5k cited

11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

Xingyuan Xu, Mengxi Tan, Bill Corcoran +9

Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features…