Review of numerical optimization techniques for meta-device design [Invited]

By Sawyer D. Campbell, David Sell, Ronald Jenkins, E. Whiting, Jonathan A. Fan, Douglas H. Werner. Optical Materials Express, 2019

253 citations recorded by the source corpus.

Optimization techniques have been indispensable for designing high-performance meta-devices targeted to a wide range of applications. In fact, today optimization is no longer an afterthought and is a fundamental tool for many optical and RF designers. Still, many devices presented in recent literature do not take advantage of optimization techniques. This paper seeks to address this by presenting both an introduction to and a review of several of the most popular techniques currently used for meta-device design. Additionally, emerging techniques like topology optimization and multi-objective optimization and their context to device design are thoroughly discussed. Moreover, attention is given to future directions in meta-device optimization such as surrogate-modeling and deep learning which have the potential to disrupt the fields of optical and radio frequency (RF) inverse-design. Finally, many design examples from the literature are presented and a flow-chart that provides guidance on how best to apply these optimization algorithms to a given problem is provided for the reader.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3fc62b6e504d00a8906bce7cb15d27dde1c956db

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In Electrical and Electronic Engineering

1. Jiaqi Jiang
2. Jonathan A. Fan

Citations in the corpus

• Global optimization of dielectric metasurfaces using a physics-driven neural network (2019, background): “12 In this aim, inverse design based on optimization has shown great promise.”