Publications of the Research Group Computational Photonics

Prof. Dr. Antonio Calà Lesina

Application of deep learning to direct and inverse problems in plasmonic coloring

authored by
Josh Baxter, Antonino Cala Lesina, Jean Michel Guay, Arnaud Weck, Pierre Berini, Lora Ramunno

Laser pulses can color noble metals by inducing nanoparticles on their surface. We apply deep learning to solve the direct and inverse problems which link nanoparticle distributions and laser parameters to the produced colour.

External Organisation(s)
University of Ottawa
Conference contribution
Publication date
Publication status
Peer reviewed
ASJC Scopus subject areas
Spectroscopy, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Management, Monitoring, Policy and Law, Electronic, Optical and Magnetic Materials, Radiology Nuclear Medicine and imaging, Instrumentation, Atomic and Molecular Physics, and Optics
Electronic version(s) (Access: Closed)