A mixture-density-based tandem optimization network for on-demand inverse design of thin-film high reflectors

Deep learning (DL) has emerged as a promising tool for photonic inverse design. Nevertheless, despite the initial success in retrieving spectra of modest complexity with nearly instantaneous readout, DL-assisted design methods often underperform in accuracy compared with advanced optimization techni...

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Detalles Bibliográficos
Autores principales: Unni, Rohit, Yao, Kan, Han, Xizewen, Zhou, Mingyuan, Zheng, Yuebing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651023/
https://www.ncbi.nlm.nih.gov/pubmed/36425324
http://dx.doi.org/10.1515/nanoph-2021-0392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651023/
https://www.ncbi.nlm.nih.gov/pubmed/36425324
http://dx.doi.org/10.1515/nanoph-2021-0392

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