Advancing statistical learning and artificial intelligence in nanophotonics inverse design
Nanophotonics inverse design is a rapidly expanding research field whose goal is to focus users on defining complex, high-level optical functionalities while leveraging machines to search for the required material and geometry configurations in sub-wavelength structures. The journey of inverse desig...
Main Authors: | Wang Qizhou, Makarenko Maksim, Burguete Lopez Arturo, Getman Fedor, Fratalocchi Andrea |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2021-12-01
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Series: | Nanophotonics |
Subjects: | |
Online Access: | https://doi.org/10.1515/nanoph-2021-0660 |
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