Leveraging long short-term memory (LSTM)-based neural networks for modeling structure–property relationships of metamaterials from electromagnetic responses

We report a neural network model for predicting the electromagnetic response of mesoscale metamaterials as well as generate design parameters for a desired spectral behavior. Our approach entails treating spectral data as time-varying sequences and the inverse problem as a single-input multiple outp...

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Detalles Bibliográficos
Autores principales: Pillai, Prajith, Pal, Parama, Chacko, Rinu, Jain, Deepak, Rai, Beena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452651/
https://www.ncbi.nlm.nih.gov/pubmed/34545123
http://dx.doi.org/10.1038/s41598-021-97999-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452651/
https://www.ncbi.nlm.nih.gov/pubmed/34545123
http://dx.doi.org/10.1038/s41598-021-97999-6

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