Machine Learning Techniques and Practical Advice for the Free-Form Inverse Design of Nanophotonic Devices
Paper in proceeding, 2023
The free-form inverse design of nanophotonic metasurfaces can be solved with a modified CGAN machine learning method that balances the accuracy of desired optical properties with experimental feasibility.
Author
Timo Gahlmann
Chalmers, Physics, Condensed Matter and Materials Theory
Philippe Tassin
Chalmers, Physics, Condensed Matter and Materials Theory
International Conference on Metamaterials, Photonic Crystals and Plasmonics
24291390 (eISSN)
1520-1521
13th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2023
Paris, France,
Paris, France,
Creating New Photonic Metasurfaces with Artificial Intelligence
Swedish Research Council (VR) (2020-05284), 2020-12-01 -- 2024-11-30.
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Language Technology (Computational Linguistics)
Aerospace Engineering
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