Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > NOMA > 2023 > NoW4C > NoW4C.3

Topological Learning and disorder for the classification and design of structured metasurfaces

Jacek Brodzki, Tristan Madeleine, Ingrid Membrillo Solis, Nina Podoliak, Oleksandr Buchnev, Giampaolo D’Alessandro, and Malgosia Kaczmarek

Not Accessible

Your library or personal account may give you access

Abstract

We propose a Topological Learning approach to quantify disorder and correlate it with the physical properties of plasmonic nanostructures. It aids the design of materials with the desired optical properties at the reduced fabrication costs.

© 2023 The Author(s)

PDF Article
More Like This
Deep-learning designed fabrication-friendly metasurfaces

Akira Ueno, Hung-I Lin, Fan Yang, Sensong An, Louis Martin-Monier, Mikhail Y. Shalanginov, Tian Gu, and Juejun Hu
FTu1E.3 Frontiers in Optics (FiO) 2023

Design Methods for Metasurfaces: Curved Wave Fronts and Machine Learning

Timo Gahlmann, Jade Martínez-Llinàs, and Philippe Tassin
NoW4C.2 Novel Optical Materials and Applications (NOMA) 2023

Identifying Topology of Photonic Lattices with Machine and Deep Learning

Lev A. Smirnov, Ekaterina O. Smolina, Daniel Leykam, and Daria A. Smirnova
ec_p_14 European Quantum Electronics Conference (EQEC) 2023

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use