Paper
4 March 2016 Numerical analysis using 2D modeling of optical fiber poled by induction
D. Huang, F. De Lucia, C. Corbari, N. Healy, P. J. A. Sazio
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Abstract
Thermal poling, a technique to introduce effective second-order nonlinearities in silica optical fibers, has found widespread applications in frequency conversion, electro-optic modulation, switching and polarization-entangled photon pair generation. Since its first demonstration around 25 years ago, studies into thermal poling were primarily based on anode-cathode electrode configurations. However, more recently, superior electrode configurations have been investigated that allow for robust and reliable thermally poled fibers with excellent second order nonlinear properties [1, 2]. Very recently, we experimentally demonstrated an electrostatic induction poling technique that creates a stable second-order nonlinearity in a twin-hole fiber without any direct physical contact to internal fiber electrodes whatsoever [3]. This innovative technique lifts a number of restrictions on the use of complex microstructured optical fibers (MOF) for poling, as it is no longer necessary to individually contact internal electrodes and presents a general methodology for selective liquid electrode filling of complex MOF geometries. In order to systematically implement these more advanced device embodiments, it is first necessary to develop comprehensive numerical models of the induction poling mechanism itself. To this end, we have developed two-dimensional (2D) simulations of space-charge region formation using COMSOL finite element analysis, by building on current numerical models [4].
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
D. Huang, F. De Lucia, C. Corbari, N. Healy, and P. J. A. Sazio "Numerical analysis using 2D modeling of optical fiber poled by induction", Proc. SPIE 9742, Physics and Simulation of Optoelectronic Devices XXIV, 97421O (4 March 2016); https://doi.org/10.1117/12.2211660
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KEYWORDS
Electrodes

Optical fibers

Electro optical modeling

Silica

Statistical modeling

Ions

Liquids

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