Machine Learning for Exotic Metasurfaces
Publication
, Conference
Deng, Y; Ren, S; Fan, K; Malof, JM; Padilla, WJ
Published in: International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz
November 8, 2020
We introduce one deep neural network and an inverse method called neural adjoint method to solve high-dimensional metasurface inverse design problem. We find that, even when the solution is outside the geometry space, the neural adjoint method is still able to find a metasurface design with low error.
Duke Scholars
Published In
International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz
DOI
EISSN
2162-2035
ISSN
2162-2027
Publication Date
November 8, 2020
Volume
2020-November
Start / End Page
25
Citation
APA
Chicago
ICMJE
MLA
NLM
Deng, Y., Ren, S., Fan, K., Malof, J. M., & Padilla, W. J. (2020). Machine Learning for Exotic Metasurfaces. In International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz (Vol. 2020-November, p. 25). https://doi.org/10.1109/IRMMW-THz46771.2020.9370973
Deng, Y., S. Ren, K. Fan, J. M. Malof, and W. J. Padilla. “Machine Learning for Exotic Metasurfaces.” In International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz, 2020-November:25, 2020. https://doi.org/10.1109/IRMMW-THz46771.2020.9370973.
Deng Y, Ren S, Fan K, Malof JM, Padilla WJ. Machine Learning for Exotic Metasurfaces. In: International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz. 2020. p. 25.
Deng, Y., et al. “Machine Learning for Exotic Metasurfaces.” International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz, vol. 2020-November, 2020, p. 25. Scopus, doi:10.1109/IRMMW-THz46771.2020.9370973.
Deng Y, Ren S, Fan K, Malof JM, Padilla WJ. Machine Learning for Exotic Metasurfaces. International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz. 2020. p. 25.
Published In
International Conference on Infrared Millimeter and Terahertz Waves Irmmw Thz
DOI
EISSN
2162-2035
ISSN
2162-2027
Publication Date
November 8, 2020
Volume
2020-November
Start / End Page
25