activity
20162020
most citedPlasmonic colours predicted by deep learning

98 citations · 98 across the 1 of their papers we have counts for

collaborators

5 papers

eess.SP2020

On the performance of optical phased array technology for beam steering

Antonio Cala' Lesina, Dominic Goodwill, Eric Bernier +2

Optical phased arrays are of strong interest for beam steering in telecom and LIDAR applications. A phased array ideally requires that the field produced by each element in the arr…

physics.optics2019

Optical phased arrays for LIDAR: beam steering via tunable plasmonic metasurfaces

Antonino Calà Lesina, Dominic Goodwill, Eric Bernier +2

Controlling the phase and amplitude of light emitted by the elements (i.e., pixels) of an optical phased array is of paramount importance to realizing dynamic beam steering for LID…

physics.optics201998 cited

Plasmonic colours predicted by deep learning

Joshua Baxter, Antonino Calà Lesina, Jean-Michel Guay +3

Picosecond laser pulses have been used as a surface colouring technique for noble metals, where the colours result from plasmonic resonances in the metallic nanoparticles created a…

physics.app-ph2018

Mechanism of Laser Induced Filamentation in dielectrics

Neda Naseri, Gabriel Dupras, Lora Ramunno

Laser filamentation in transparent material has a wide range of applications, from three dimensional manufacturing to biological technologies. Various experimental results showed t…

physics.atm-clus2016

Effective Transparency in the XUV: A Pump-Probe Test of Atomistic Laser-Cluster Models

Rishi Pandit, Kasey Barrington, Thomas Teague +4

The effective transparency of rare-gas clusters, post-interaction with an extreme ultraviolet (XUV) pump pulse, is predicted by using an atomistic hybrid quantum-classical molecula…