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Investigating electro-optical properties of a nematic liquid crystal cell with planar anchoring boundary condition for various thicknesses: A Monte Carlo study

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Abstract

Monte Carlo (MC) simulations and the Mueller matrix formalism were applied to investigate electro optical properties of a LC cell with planar boundary conditions for various thicknesses. Field dependent global order parameter and the optical transmissions were analyzed in common. Three characteristic regions of the periodicity of optical transmissions as a function of polarizer angle and the external field were identified.

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... In this formalism, all polarisation states of the light beam arriving at optical elements are represented by a 4 × 1 Stokes vector. Many optical elements, such as polarisers and phaseshifting optical retarders, can each be represented by a 4 × 4 Mueller matrix [9][10][11]. ...
... The systematic analysis performed in this study offers insights into the dynamic tuning of optical transmissions as a function of external fields and the cell thicknesses. Compared to a single-stage configuration [10,11], the two-stage LC retarder system provides significantly enhanced tunability, which allows for more precise control over the adjustment of optical properties across different wavelengths. This capability is particularly important in applications where selective or broadband tuning is required, offering superior functionality over single-stage setups. ...
... The third term is called the Rapini-Papoular term [11,[13][14][15][16], which describes the anchoring forces between LCMs and the confining cell walls. The parameters τ and k w represent the anchoring force strength and the indices of nearest neighbouring LCM to the cell walls, respectively. ...
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Preface; 1. Introduction; 2. Some necessary background; 3. Simple sampling Monte Carlo methods; 4. Importance sampling Monte Carlo methods; 5. More on importance sampling Monte Carlo methods of lattice systems; 6. Off-lattice models; 7. Reweighting methods; 8. Quantum Monte Carlo methods; 9. Monte Carlo renormalization group methods; 10. Non-equilibrium and irreversible processes; 11. Lattice gauge models: a brief introduction; 12. A brief review of other methods of computer simulation; 13. Monte Carlo simulations at the periphery of physics and beyond; 14. Monte Carlo studies of biological molecules; 15. Outlook; Appendix; Index.
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