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Determination of Femtosecond Laser Direct Written Waveguide Refractive Index Using Machine Learning
- Source :
- Conference on Lasers and Electro-Optics.
- Publication Year :
- 2020
- Publisher :
- Optica Publishing Group, 2020.
-
Abstract
- A machine learning-based model was trained on beam propagation simulation data of a femtosecond laser direct written 1-D waveguide array structure with varying refractive indices, to predict the refractive index difference of laser-induced waveguide.
- Subjects :
- Waveguide lasers
Materials science
business.industry
Physics::Optics
Ultrafast optics
02 engineering and technology
021001 nanoscience & nanotechnology
Machine learning
computer.software_genre
Laser
Waveguide array
01 natural sciences
Waveguide (optics)
law.invention
010309 optics
law
0103 physical sciences
Femtosecond
Artificial intelligence
0210 nano-technology
business
Refractive index
computer
Beam (structure)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Conference on Lasers and Electro-Optics
- Accession number :
- edsair.doi...........70f078eb92ccc7cac782ecc99a5f373f