Design of metamaterials using neural networks

Naoto Akashi; Mana Toma; Kotaro Kajikawa

doi:10.1117/12.2538870

18 November 2019 Design of metamaterials using neural networks

Naoto Akashi, Mana Toma, Kotaro Kajikawa

Proceedings Volume 11194, Plasmonics IV; 111940U (2019) https://doi.org/10.1117/12.2538870
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

Abstract

Machine learning has been received considerable attention in various research fields, because the processing power of general-purpose computers has improved. The design of optical materials using neural network (NN) may revolutionize the methodology of nanophotonics research. In this paper, we introduce NN methods to solve the problems of scattering cross-section of multi-layered cylinder (forward calculation). The NN calculation is 3500 times faster than that based on the Mie theory.

Citation Download Citation

Naoto Akashi, Mana Toma, and Kotaro Kajikawa "Design of metamaterials using neural networks", Proc. SPIE 11194, Plasmonics IV, 111940U (18 November 2019); https://doi.org/10.1117/12.2538870

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