Overcoming Limits in Nano-Optical Simulations, Design and Experiments Using Deep Learning
In: META ; https://hal.science/hal-03611990 ; META, Jul 2021, Warsaw, Poland, 2021
Online
Konferenz
Zugriff:
International audience ; Subwavelength small particles can be tailored to fulfill manifold functionalities when interacting with light. During the past twenty years, tremendous research efforts have therefore been put into the field of nano-optics, leading to astonishing results and applications like flat optics, optical cloaking or negative index meta-materials. However, there are physical and/or methodological constraints which have proven hard to overcome. For instance, the optical diffraction limit is a difficult obstacle in many applications ranging from microscopy to optical information storage. In nanooptics modeling, inverse problems like the rational design of nano-structures are another example for a difficult tasks. We show how problems that were until recently considered very hard to solve, can be tackled efficiently using methods of artificial intelligence (AI) and specifically deep learning.
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Overcoming Limits in Nano-Optical Simulations, Design and Experiments Using Deep Learning
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Autor/in / Beteiligte Person: | Wiecha, Peter ; Larrieu, Guilhem ; Lecestre, Aurélie ; Muskens, Otto ; Équipe Matériaux et Procédés pour la Nanoélectronique (LAAS-MPN) ; Laboratoire d'analyse et d'architecture des systèmes (LAAS) ; Université Toulouse Capitole (UT Capitole) ; Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse) ; Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J) ; Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3) ; Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP) ; Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole) ; Université de Toulouse (UT) ; Service Techniques et Équipements Appliqués à la Microélectronique (LAAS-TEAM) ; University of Southampton |
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Zeitschrift: | META ; https://hal.science/hal-03611990 ; META, Jul 2021, Warsaw, Poland, 2021 |
Veröffentlichung: | HAL CCSD, 2021 |
Medientyp: | Konferenz |
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