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Proceedings Paper

Design of metamaterials using neural networks
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Paper 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.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11194, Plasmonics IV, 111940U (18 November 2019); doi: 10.1117/12.2538870
Show Author Affiliations
Naoto Akashi, Tokyo Institute of Technology (Japan)
Mana Toma, Tokyo Institute of Technology (Japan)
Kotaro Kajikawa, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 11194:
Plasmonics IV
Hongxing Xu; Satoshi Kawata; Min Qiu, Editor(s)

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