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
- Abstract
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
- Type
- Conference contribution
- Publication date
- 05.2019
- Publication status
- Published
- Peer reviewed
- Yes
- 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)
-
https://doi.org/10.1364/cleo_qels.2019.ftu4c.4 (Access:
Closed)