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.

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Vydané v:EPJ Web of conferences Ročník 307; s. 4057
Hlavní autori: Chattopadhyay, Utsa, Carstens, Florian, Wienke, Andreas, Hartl, Ingmar, Ay, Nihat, Heyl, Christoph, Tünnermann, Henrik
Médium: Journal Article Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: Les Ulis EDP Sciences 01.01.2024
Predmet:
Neural networks
Optical coatings
Optical properties
ISSN:2100-014X, 2101-6275, 2100-014X
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Shrnutí: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.
Bibliografia:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/202430704057