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...

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Detalles Bibliográficos
Autores principales: Vahidzadeh, Ehsan, Shankar, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001937/
https://www.ncbi.nlm.nih.gov/pubmed/33806266
http://dx.doi.org/10.3390/nano11030633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001937/
https://www.ncbi.nlm.nih.gov/pubmed/33806266
http://dx.doi.org/10.3390/nano11030633

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