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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
De Gruyter
2021
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| Materias: | |
| 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 |