Artificial Neural Network Modelling for Optimizing the Optical Parameters of Plasmonic Paired Nanostructures

Artificial Neural Network Modelling for Optimizing the Optical Parameters of Plasmonic Paired Nanostructures

The Artificial Neural Network (ANN) has become an attractive approach in Machine Learning (ML) to analyze a complex data-driven problem. Due to its time efficient findings, it has became popular in many scientific fields such as physics, optics, and material science. This paper presents a new approa...

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Bibliografische gegevens
Hoofdauteurs: Sneha Verma, Sunny Chugh, Souvik Ghosh, B. M. Azizur Rahman
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-01-01
Reeks:Nanomaterials
Onderwerpen:
nano structures
sensitivity
Q-factor
plasmonic wavelength
full-width half maximum (FWHM)
artificial neural networks (ANNs)
Online toegang:https://www.mdpi.com/2079-4991/12/1/170

Internet

https://www.mdpi.com/2079-4991/12/1/170

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