Details
Original language | English |
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Title of host publication | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9781943580576 |
Publication status | Published - May 2019 |
Externally published | Yes |
Event | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019 |
Publication series
Name | Conference on Lasers and Electro-Optics |
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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.
ASJC Scopus subject areas
- Chemistry(all)
- Spectroscopy
- Engineering(all)
- Industrial and Manufacturing Engineering
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Environmental Science(all)
- Management, Monitoring, Policy and Law
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Medicine(all)
- Radiology Nuclear Medicine and imaging
- Physics and Astronomy(all)
- Instrumentation
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
Cite this
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2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8750346 (Conference on Lasers and Electro-Optics).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Application of deep learning to direct and inverse problems in plasmonic coloring
AU - Baxter, Josh
AU - Lesina, Antonino Cala
AU - Guay, Jean Michel
AU - Weck, Arnaud
AU - Berini, Pierre
AU - Ramunno, Lora
PY - 2019/5
Y1 - 2019/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85069155306&partnerID=8YFLogxK
U2 - 10.1364/cleo_qels.2019.ftu4c.4
DO - 10.1364/cleo_qels.2019.ftu4c.4
M3 - Conference contribution
AN - SCOPUS:85069155306
T3 - Conference on Lasers and Electro-Optics
BT - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019
Y2 - 5 May 2019 through 10 May 2019
ER -