Thin-slot formalism for the split-field FDTD analysis of periodic structure

Xu, Boao; Ye, Yun; Bin, Chen; Yin, Qiang; Xiong, Ranhua

doi:10.1002/mmce.21087

Cited by 1 publication

(1 citation statement)

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“…Thus, many researchers have focused their efforts in this topic due to its potential for simulating photonic and diffractive optics elements. [22][23][24][25][26][27] The SF-FDTD scheme economizes in memory resources, thus enabling the increase in spatial and time resolution of the discrete grid describing the device under test. It is the first time, to our knowledge, that is being applied to PA-LC devices under oblique incidence for phase-shift and retardance calculations.…”

Section: Introductionmentioning

confidence: 99%

Computational split-field finite-difference time-domain evaluation of simplified tilt-angle models for parallel-aligned liquid-crystal devices

et al. 2018

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Simplified analytical models with predictive capability enable simpler and faster optimization of the performance in applications of complex photonic devices. We recently demonstrated the most simplified analytical model still showing predictive capability for parallel-aligned liquid crystal on silicon (PA-LCoS) devices, which provides the voltage-dependent retardance for a very wide range of incidence angles and any wavelength in the visible. We further show that the proposed model is not only phenomenological but also physically meaningful, since two of its parameters provide the correct values for important internal properties of these devices related to the birefringence, cell gap, and director profile. Therefore, the proposed model can be used as a means to inspect internal physical properties of the cell. As an innovation, we also show the applicability of the split-field finite-difference time-domain (SF-FDTD) technique for phase-shift and retardance evaluation of PA-LCoS devices under oblique incidence. As a simplified model for PA-LCoS devices, we also consider the exact description of homogeneous birefringent slabs. However, we show that, despite its higher degree of simplification, the proposed model is more robust, providing unambiguous and physically meaningful solutions when fitting its parameters.

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