Building Multi-functional Meta-optic Systems through Deep Learning

Autor:	Zhaocheng Liu, Dayu Zhu, Wenshan Cai, Lakshmi Raju, Andrew S. Kim
Rok vydání:	2021
Předmět:	Generator (computer programming) Artificial neural network Computer science business.industry Deep learning Holography Physics::Optics Multiplexing law.invention Differentiator Computer architecture law Artificial intelligence business Laser beams
Zdroj:	Conference on Lasers and Electro-Optics.
DOI:	10.1364/cleo_qels.2021.ftu4h.3
Popis:	We develop a deep learning framework for the design of large-scale, multi-layered, multi-functional meta-optic systems. We demonstrate designed examples of a dual-functional beam generator, an all-optical second-order differentiator, and a space-polarization-wavelength multiplexed hologram.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::784f1ec7901784d6bf0d8d4119595a2d https://doi.org/10.1364/cleo_qels.2021.ftu4h.3 Zobrazit plný text záznamu