@inproceedings{c2a5ec06f55e4567960c65da81ce488d,
title = "Topology Optimization of RF GRIN Lenses",
abstract = "There is great interest in designing broadband GRadient INdex (GRIN) lenses due to their ability to improve the gain of an antenna over a wide frequency range. However, conventional approaches (e.g., transformation optics) are either difficult to realize due to the required material properties or yield suboptimal performance. Better performance can be achieved by implementing a true inverse-design (optimization) procedure which allows the lens permittivity to vary in a nearly-arbitrary manner. To this end, an adjoint-based topology optimization method is employed which can calculate gradients for an arbitrary number of design variables with only two full-wave simulations. This method is extremely versatile and can be used in conjunction with any arbitrary source, lens shape, and permittivity range to quickly find the best performing designs.",
author = "Whiting, {Eric B.} and Campbell, {Sawyer D.} and Jingwei Xu and Werner, {Pingjuan L.} and Werner, {Douglas H.} and Bossard, {Jeremy A.} and Barrett, {John P.} and Withrow, {Joshua W.} and Lockheed Martin",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 ; Conference date: 05-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
day = "5",
doi = "10.1109/IEEECONF35879.2020.9329804",
language = "English (US)",
series = "2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "101--102",
booktitle = "2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings",
address = "United States",
}