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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Bibliographische Detailangaben
Veröffentlicht in:EPJ Web of conferences Jg. 307; S. 4057
Hauptverfasser: Chattopadhyay, Utsa, Carstens, Florian, Wienke, Andreas, Hartl, Ingmar, Ay, Nihat, Heyl, Christoph, Tünnermann, Henrik
Format: Journal Article Tagungsbericht
Sprache:Englisch
Veröffentlicht: Les Ulis EDP Sciences 01.01.2024
Schlagworte:
Neural networks
Optical coatings
Optical properties
ISSN:2100-014X, 2101-6275, 2100-014X
Online-Zugang:Volltext
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Zusammenfassung: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.
Bibliographie: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