Abstract
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.
| Original language | English (US) |
|---|---|
| Article number | 351481 |
| Journal | Optical Materials Express |
| Volume | 9 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 1 2019 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
Cite this
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Review of numerical optimization techniques for meta-device design [Invited]. / Campbell, Sawyer D.; Sell, David; Jenkins, Ronald P.; Whiting, Eric B.; Fan, Jonathan A.; Werner, Douglas H.
In: Optical Materials Express, Vol. 9, No. 4, 351481, 01.04.2019.Research output: Contribution to journal › Review article
TY - JOUR
T1 - Review of numerical optimization techniques for meta-device design [Invited]
AU - Campbell, Sawyer D.
AU - Sell, David
AU - Jenkins, Ronald P.
AU - Whiting, Eric B.
AU - Fan, Jonathan A.
AU - Werner, Douglas H.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85065840919&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065840919&partnerID=8YFLogxK
U2 - 10.1364/OME.9.001842
DO - 10.1364/OME.9.001842
M3 - Review article
AN - SCOPUS:85065840919
VL - 9
JO - Optical Materials Express
JF - Optical Materials Express
SN - 2159-3930
IS - 4
M1 - 351481
ER -