Artificial Neural Network-Based Prediction of the Optical Properties of Spherical Core–Shell Plasmonic Metastructures
The substitution of time- and labor-intensive empirical research as well as slow finite difference time domain (FDTD) simulations with revolutionary techniques such as artificial neural network (ANN)-based predictive modeling is the next trend in the field of nanophotonics. In this work, we demonstr...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
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Series: | Nanomaterials |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-4991/11/3/633 |