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000639990 1001_ $$aChattopadhyay, Utsa$$b0
000639990 1112_ $$a2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)$$cMunich$$d2025-06-23 - 2025-06-27$$wGermany
000639990 245__ $$aAI-Driven Design of High-Performance Optical Thin Film Coatings for Ultrafast Lasers
000639990 260__ $$bIEEE$$c2025
000639990 29510 $$a2025 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) : [Proceedings] - IEEE, 2025. - ISBN 979-8-3315-1252-1 - doi:10.1109/CLEO/Europe-EQEC65582.2025.11110889
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000639990 520__ $$aUltrafast laser systems critically depend on optical thin film coatings to control dispersion and light propagation, enabling precise shaping of light. Optical thin film coating design represents a complex inverse problem traditionally relying on computationally intensive numerical optimization methods. These conventional approaches, exemplified by the widely used Needle Algorithm [1], require significant computational resources and often rely on expert intervention [2]. We here propose a new approach to these challenges and present a physics-informed machine learning framework based on an autoencoder architecture and use it to design an ultra-broadband dispersive mirror.
000639990 536__ $$0G:(DE-HGF)2019_IVF-HIDSS-0002$$aHIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002)$$c2019_IVF-HIDSS-0002$$x0
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000639990 7001_ $$aCarstens, Florian$$b1
000639990 7001_ $$aWienke, Andreas$$b2
000639990 7001_ $$aHartl, Ingmar$$b3
000639990 7001_ $$aAy, Nihat$$b4
000639990 7001_ $$aHeyl, Christoph M.$$b5
000639990 7001_ $$aTünnermann, Henrik$$b6
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