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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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
De Gruyter
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/3a69ffa99f924ab8bbdc9fb92a288007 |
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