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  4. Neural network method for dielectric optical coating design

Neural network method for dielectric optical coating design

Citation Link: https://doi.org/10.15480/882.13896
Publikationstyp
Journal Article
Date Issued
2024-10-18
Sprache
English
Author(s)
Chattopadhyay, Utsa
Data Science Foundations E-21
Carstens, Florian
Wienke, Andreas
Hartl, Ingmar
Ay, Nihat
Data Science Foundations E-21
Heyl, Christoph
Tünnermann, Henrik
TORE-DOI
10.15480/882.13896
TORE-URI
https://hdl.handle.net/11420/52446
Journal
The European physical journal
Volume
307
Article Number
04057
Citation
The European physical journal 307: 04057 (2024)
Contribution to Conference
11TH EPS-QEOD EUROPHOTON Conference 2024
Publisher DOI
10.1051/epjconf/202430704057
Scopus ID
2-s2.0-85212845011
Publisher
EDP Sciences
Peer Reviewed
true
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(s)
Helmholtz Graduate School for the Structure of Matter - Phase 1
Lizenz
https://creativecommons.org/licenses/by/4.0/
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