Second harmonic generation enhanced with inversely designed plasmonics for nonlinear metamaterials

Lakshmi Raju; Kyu-tae Lee; Zhaocheng Liu; Dayu Zhu; Muliang Zhu; Ekaterina Poutrina; Augustine Urbas; Wenshan Cai

doi:10.1117/12.2607644

4 March 2022 Second harmonic generation enhanced with inversely designed plasmonics for nonlinear metamaterials

Lakshmi Raju, Kyu-tae Lee, Zhaocheng Liu, Dayu Zhu, Muliang Zhu, Ekaterina Poutrina, Augustine Urbas, Wenshan Cai

Proceedings Volume 11985, Nonlinear Frequency Generation and Conversion: Materials and Devices XXI; 1198507 (2022) https://doi.org/10.1117/12.2607644
Event: SPIE LASE, 2022, San Francisco, California, United States

Abstract

Traditional processes for the design of metamaterial structures are often computational heavy, time-consuming, and occasionally does not lead to the desired optical response. Deep learning can quickly optimize structures through inverse design, and create new geometries for devices. This research uses a deep learning framework for the inverse design of an optimal plasmonic structure to maximize the second-order nonlinear response from a nonlinear metamaterial. The thinfilm nonlinear metamaterial employed is a nanolaminate, and the optimal plasmonic structure is fabricated to establish the validity of the deep learning algorithm.

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Citation Download Citation

Lakshmi Raju, Kyu-tae Lee, Zhaocheng Liu, Dayu Zhu, Muliang Zhu, Ekaterina Poutrina, Augustine Urbas, and Wenshan Cai "Second harmonic generation enhanced with inversely designed plasmonics for nonlinear metamaterials", Proc. SPIE 11985, Nonlinear Frequency Generation and Conversion: Materials and Devices XXI, 1198507 (4 March 2022); https://doi.org/10.1117/12.2607644

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