Eur. Phys. J. Appl. Phys.
Volume 79, Number 2, August 2017
|Number of page(s)||5|
|Published online||21 July 2017|
Parametric optimization of optical devices based on strong photonic localization
MOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, P.R. China
2 Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, South China Normal University, Guangzhou 510631, P.R. China
a e-mail: email@example.com
Revised: 12 June 2017
Accepted: 14 June 2017
Published online: 21 July 2017
Symmetric two-segment-connected triangular defect waveguide networks (STSCTDWNs) can produce strong photonic localization, which is useful for designing highly efficient energy storage devices, high power superluminescent light emitting diodes, all-optical switches, and more. Although STSCTDWNs have been studied in previous works, in this paper we systematically optimize the parameters of STSCTDWNs to further enhance photonic localization so that the function of optical devices based on strong photonic localization can be improved. When optimizing the parameters, we find a linear relationship between the logarithm of photonic localization and the broken degree of networks. Furthermore, the slope and intercept of the linear relationship are larger than previous results. This means that the increasing speed of photonic localization is improved. The largest intensity of photonic localizations can reach 1036, which is 16 orders of magnitude larger than previous reported results. These optimized networks provide practical solutions for all optical devices based on strong photonic localization in the low frequency range, such as nanostructured devices.
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.