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A cyclical deep learning based framework for simultaneous inverse and forward design of nanophotonic metasurfaces
The conventional approach to nanophotonic metasurface design and optimization for a targeted electromagnetic response involves exploring large geometry and material spaces. This is a highly iterative process based on trial and error, which is computationally costly and time consuming. Moreover, the...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7656263/ https://www.ncbi.nlm.nih.gov/pubmed/33173073 http://dx.doi.org/10.1038/s41598-020-76400-y |