Neural network method for dielectric optical coating design

We use neural networks to address the challenge of deriving dielectric coating designs from the desired optical properties. We show that our trained neural network can automatically design common laser mirror coatings types efficiently.

DDC Class

621.3: Electrical Engineering, Electronic Engineering

530: Physics

006.3: Artificial Intelligence

Funding Organisations

DASHH (Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter)

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by/4.0/

Name

epjconf_eph2024_04057.pdf

Size

1.51 MB

Format

Adobe PDF

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Neural network method for dielectric optical coating design