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Metasurface synthesis through multi-objective optimization aided inverse-design
Author(s): Sawyer D. Campbell; Eric B. Whiting; Douglas H. Werner; Pingjuan L. Werner
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Paper Abstract

Advances in design and nanofabrication are enabling the ability to realize nanophotonic structures that achieve optical functionalities not possible with conventional devices. Some of the most interesting structures being developed are based on metasurfaces comprised of sub-wavelength unit cells intelligently patterned to locally manipulate an electromagnetic wavefront in a desired way. However, designing a metasurface to achieve a specific set of desired functionalities is extremely challenging especially in the presence of coupling between unit cells, which can affect system performance and lead to unexpected optical aberrations. To overcome this challenge, designers typically employ only canonical structures (e.g., loaded-dipoles, v-antennas, split-ring resonators) to synthesize a metasurface to achieve their desired functionality. However, metadevices based on these canonical structures do not always achieve optimal performance especially when broadband and/or wide-field-of-view functionality is desired. Additionally, different material combinations as well as fabrication effects and tolerances can make the optimal unit cell topology selection difficult. Therefore, the ability to generate a diverse set of unintuitive metasurface unit cells and evaluate their electromagnetic behaviors for achieving a specific functionality is highly desirable. Moreover, doing so in an efficient and intelligent manner is extremely important in order to maintain a tractable inverse design process. To this end, we employ a custom nanoantenna unit cell topology generation routine in conjunction with robust state-of-the-art multi-objective and surrogate-assisted optimization algorithms to find optimal designs that achieve an arbitrary number of user-specified performance criteria. Finally, when paired with advanced full-wave forward solvers these design and optimization algorithms enable an efficient inverse design toolkit for high performance metasurface synthesis.

Paper Details

Date Published: 5 September 2019
PDF: 4 pages
Proc. SPIE 11080, Metamaterials, Metadevices, and Metasystems 2019, 110802F (5 September 2019); doi: 10.1117/12.2529823
Show Author Affiliations
Sawyer D. Campbell, The Pennsylvania State Univ. (United States)
Eric B. Whiting, The Pennsylvania State Univ. (United States)
Douglas H. Werner, The Pennsylvania State Univ. (United States)
Pingjuan L. Werner, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 11080:
Metamaterials, Metadevices, and Metasystems 2019
Nader Engheta; Mikhail A. Noginov; Nikolay I. Zheludev, Editor(s)

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