Researcher: Ünal, Gül Seda
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Ünal, Gül Seda
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Publication Metadata only Optical patch antennas-analysis and design inspired by radio frequency(Optical Society of America (OSA), 2013) N/A; Department of Electrical and Electronics Engineering; Ünal, Gül Seda; Aksun, M. İrşadi; PhD Student; Faculty Member; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 28358Optical antennas have been quite instrumental in manipulating light in subwavelength scales, and mainly inspired by and drawn from the design of RF antennas, such as dipole, bow-tie and Yagi-Uda antennas. Considering this significant resemblance of optical antennas to their RF counterparts, it has been demonstrated that the computational tools of patch antennas in RF, namely the cavity model, can be employed with some modifications in the optical regime.Publication Open Access Bridging the gap between RF and optical patch antenna analysis via the cavity model(Nature Publishing Group (NPG), 2015) Department of Electrical and Electronics Engineering; Ünal, Gül Seda; Aksun, M. İrşadi; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering; N/A; 28358Although optical antennas with a variety of shapes and for a variety of applications have been proposed and studied, they are still in their infancy compared to their radio frequency (rf) counterparts. Optical antennas have mainly utilized the geometrical attributes of rf antennas rather than the analysis tools that have been the source of intuition for antenna engineers in rf. This study intends to narrow the gap of experience and intuition in the design of optical patch antennas by introducing an easy-to-understand and easy-to-implement analysis tool in rf, namely, the cavity model, into the optical regime. The importance of this approach is not only its simplicity in understanding and implementation but also its applicability to a broad class of patch antennas and, more importantly, its ability to provide the intuition needed to predict the outcome without going through the trial-and-error simulations with no or little intuitive guidance by the user.