Knowledge Discovery in Nanophotonics Using Geometric Deep Learning

Knowledge Discovery in Nanophotonics Using Geometric Deep Learning

Herein, a new approach for using the intelligence aspects of artificial intelligence for knowledge discovery rather than device optimization in electromagnetic (EM) nanostructures is presented. This approach uses training data obtained through full‐wave EM simulations of a series of nanostructures t...

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Bibliographic Details
Main Authors: Yashar Kiarashinejad, Mohammadreza Zandehshahvar, Sajjad Abdollahramezani, Omid Hemmatyar, Reza Pourabolghasem, Ali Adibi
Format: Article
Language:English
Published: Wiley 2020-02-01
Series:Advanced Intelligent Systems
Subjects:
artificial intelligence
deep learning
light–matter interactions
machine learning
nanophotonics
Online Access:https://doi.org/10.1002/aisy.201900132

Internet

https://doi.org/10.1002/aisy.201900132

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