Open AccessRobust and Scalable Flat‐Optics on Flexible Substrates via Evolutionary Neural Networks
Author(s) -
Makarenko Maksim,
Wang Qizhou,
Burguete-Lopez Arturo,
Getman Fedor,
Fratalocchi Andrea
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202170075
Subject(s) - robustness (evolution) , artificial neural network , broadband , computer science , scalability , realization (probability) , artificial intelligence , telecommunications , biochemistry , chemistry , statistics , mathematics , database , gene
Flexible Flat‐Optics This work, presented in article 2100105 by Andrea Fratalocchi and co‐workers, implements an artificial intelligent, end‐to‐end pipeline for the experimental realization of flexible, broadband ultra‐flat optics for vectorial light control. The system takes advantage of “physical” neural networks, engineered into suitably designed optical nanoresonators. The design framework also considers fabrication robustness, furnishing devices that maintain their optical response even under strong stress perturbations and deformations.