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Inverse design of core-shell particles with discrete material classes using neural networks
The design of scatterers on demand is a challenging task that requires the investigation and development of novel and flexible approaches. In this paper, we propose a machine learning-assisted optimization framework to design multi-layered core-shell particles that provide a scattering response on d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643484/ https://www.ncbi.nlm.nih.gov/pubmed/36347865 http://dx.doi.org/10.1038/s41598-022-21802-3 |