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A deep learning approach to the forward prediction and inverse design of plasmonic metasurface structural color

Roberts, Nathan Bryn; Keshavarz Hedayati, Mehdi

A deep learning approach to the forward prediction and inverse design of plasmonic metasurface structural color Thumbnail


Authors

Nathan Bryn Roberts



Abstract

This report details a deep learning approach to the forward and inverse designs of plasmonic metasurface structural color. Here, optimized Deep Neural Network models are presented to enable the forward and inverse mapping between metamaterial structure and corresponding color. The forward model is capable of predicting color with >96% accuracy, with a 105 order of magnitude decrease in computational time when compared to finite-difference time-domain simulations used in conventional design workflows. An inverse model is trained using a tandem autoencoder, employing the pre-trained forward model. Here, the use of synthetic training data for self-learning is reported, which results in an ≈15% improvement in training accuracy. The tightly constrained inverse model allows for the instantaneous design of metasurfaces, given a desired color, with an accuracy of >86%, making it suitable for commercial use as well as the acceleration of photonics research.

Citation

Roberts, N. B., & Keshavarz Hedayati, M. (2021). A deep learning approach to the forward prediction and inverse design of plasmonic metasurface structural color. Applied Physics Letters, 119(6), Article 061101. https://doi.org/10.1063/5.0055733

Journal Article Type Article
Acceptance Date Jul 26, 2021
Online Publication Date Aug 9, 2021
Publication Date Aug 9, 2021
Deposit Date Aug 11, 2021
Publicly Available Date Mar 29, 2024
Journal Applied Physics Letters
Print ISSN 0003-6951
Electronic ISSN 1077-3118
Publisher American Institute of Physics
Peer Reviewed Peer Reviewed
Volume 119
Issue 6
Article Number 061101
DOI https://doi.org/10.1063/5.0055733

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Copyright Statement
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Roberts, Nathan Bryn & Keshavarz Hedayati, Mehdi (2021). A deep learning approach to the forward prediction and inverse design of plasmonic metasurface structural color. Applied Physics Letters 119(6): 061101 and may be found at https://doi.org/10.1063/5.0055733




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