Abstract

Plasmonics offers strong light localization into subwavelength dimensions beyond the diffraction limit. Therefore, plasmonics has a significant impact on realizing nanoscale photonic devices for a wide range of applications such as integrated optics, sensing, solar cells, and microscopy. The computational modeling of plasmonic devices provides a fundamental understanding of the relying physics. However, computational modeling of these devices is still a challenge as some of the existing modeling techniques fail to capture the correct behavior of plasmonic devices. In this regard, this paper focuses on reviewing the existing computational modeling tools for analyzing plasmonic devices and highlighting their salient features and shortcomings.

© 2020 Optical Society of America

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