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Nematic colloids for photonic systems (with schemes for complex structures) Iztok Bajc Adviser: Prof. dr. Slobodan Žumer Fakulteta za matematiko in fiziko.

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Presentation on theme: "Nematic colloids for photonic systems (with schemes for complex structures) Iztok Bajc Adviser: Prof. dr. Slobodan Žumer Fakulteta za matematiko in fiziko."— Presentation transcript:

1 Nematic colloids for photonic systems (with schemes for complex structures) Iztok Bajc Adviser: Prof. dr. Slobodan Žumer Fakulteta za matematiko in fiziko Univerza v Ljubljani Slovenija

2 Outline Motivations, classical and new applications Nematic liquid crystals Colloidal particles in nematic Modeling requirements for large 3D systems Test calculations (3D) Future work: external fields for photonic systems

3 Motivations, classical and new applications

4 Motivations Interesting and fast evolving field. Liquid crystals well represented field in Slovenia. Why to approach this thematic? M. Ravnik, S. Žumer, Soft Matter, 2009. One of the priorities of the EU project (Hierarchy) in which I’m involved. M. Humar, M. Ravnik, S. Pajk, I. Muševič, Nature Photonics, 2009. New potential applications: Metamaterials. Microcavities - microresonators. Requirement of very effective modeling codes. Challenge to find the right approaches. (Hot topics!)

5 LCD (Liquid Crystal Displays). Classical applications of liquid crystals Liquid crystals have unique optical properties. Eye protecting filters for welding helmets (Balder) Polarizing glasses for 3D vision

6 New potential applications: metamaterials, microresonators Solid state metamaterials: Photonic crystals: Soft metamaterials? Nematic droplet. Figures: I. Muševič, CLC Ljubljana Conference, 2010. Whispering Gallery Modes (WGM ) in a microresonator.

7 Nematic Liquid Crystals

8 Nematic liquid crystals (The same happens, if temperature is lowered) Electric or magnetic field can change their phase form isotropic liquid to partially ordered mesophase. Molecules are rodlike. Tend to align in a preferred direction. Liquid crystals are a liquid, oily material. They flow like a liquid...... but can be partially ordered - like crystals.

9 Description of nematic liquid crystals Basic quantities Director Scalar order parameter Quantifies the degree of order of the orientation: -1/2  ideal biaxial liquid 0  isotropic liquid 1  ideally aligned liquid (all molecules parallel) Points in preferenced orientation.

10 Alternative description with Q-tensor field traceless: its largest eigenvector and its corrispondent eigenvalue. New quantity: tensor order parameter : Only 5 independent components of Q are required. symmetric:

11 Free-energy functional Director and order nematic structure follow from minimizing the Landau-de Gennes functional: Elastic energy Surface energy Thermodynamic energy L – elastic constants A, B, C – material constants W – surface energy

12 Colloidal particles in nematic

13 We get disclination lines (topological defects) around the particles: Inclusion of colloidal particles in a thin sheet of nematic LC. Colloidal structures -crystals in nematic. Strong attractive forces between particles. Inclusion of colloidal particles

14 Structures of colloidal particles in nematic 1D structures 2D structures - crystals 3D structures

15 12- and 10- cluster in 90° twisted nematic cell. Experiments by U. Tkalec, 2010 (to be published). 3×3×3 dipolar crystal in homeotropically oriented nematic. Experiment by Andriy Nych, 2010 (to be published). Large 3D structures:

16 Modeling Requirements

17 Actual finite difference code in C is: Robust and effective for smaller or periodic systems. But uses uniform grid (uniform resolution). Computations until now A job needs 2h to converge. You double the resolution Then it will run for 2 days. Example:

18 New modeling requirements Moving objects (due to nematic elastic forces). Mesh adaptivity in 3D, preferably with anisotropic metric. Parallel processing (computer clusters). Meshes by Cécile Dobrzynski, Institut de Mathématiques de Bordeaux.

19 Newton iteration of tensor fields If function (of one variable): First variation of functional: ( - test functions) Newton iteration: Finite Element Method (FEM) Advantages: –Mesh can be locally refined less mesh point needed. –Around each point we have an interpolating function (spline).

20 Test calculations in 3D: One colloidal particle

21 Central section of 3D simulation box mesh Mesh points: 17 000; Tetrahedra: 100 000 Mesh generation’s time: 5 sec (TetGen) 2 microns

22 Central section: director field n (in green). Newton’s method took 19 iterations (total time: 54 min). 2 microns

23 Central section of the order parameter field S. In green: sections of Saturn ring defect. Topological defect 2 microns

24 Test calculations in 3D : More particles

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27 Future work: external fields for photonic systems

28 Electric field on a nematic droplet A large field E change Q. Iteration needed Also changes. By tuning electric field Figures: I. Muševič, CLC Ljubljana Conference, 2010. we switch between optical modes.

29 Electromagnetic waves – linear/nonlinear optics Detail dimensions comparable with wavelength. Ray optics not adequate. 2 microns Nematic is a lossy medium. Also nonhomegeneously anisotropic. Birefringence Full system description needed (diffraction,...).

30 Numerical solution of Maxwell equations Computational photonics Mature field for homogeneous medium and periodic structures (e.g. photonic crystals). But young for nonhomegenously anysotropic media ! Computational soft photonics Basis: Computational electromagnetics

31 Computational approaches Book Joannopoulos et alt., Photonic Crystals, points out three cathegories of problems: 1) Frequency-domain eigenproblems 2) Frequency-domain response 3) Time-domain propagation [1] Joannopoulos et alt., Photonic Crystals, Molding the flow of Light, 2nd ed, Princeton University Press, 2008.

32 Frequency domain eigenproblems Seeking for eigenmodes. Aim: band structure of photonic crystals. Periodic boundary conditions. 1) Eigenequation Reduces to a matrix eigenproblem: Pictures from site of Steve Johnoson (MIT). (+ condition)

33 Frequency domain responses Seeking for stationary state. Aims: absorption & transmittivity. At fixed frequency. ? + Absorbing Boundary Conditions (ABC). Reduces to a matrix linear system: 2)

34 Time-domain propagation Time evolution of electromagnetic waves. Start with FDTD (Finite Difference Time Domain) numerical method: 1.Ready code freely available. Easily supports nonlinear optical effects. Gain feeling and experience for smaller systems. Next: possibility of passing to FEM will be considered. 3) ? Micro-optical elements? Micro-waveguides? ? ? ?

35 Work has been finansed by EU: Hierarchy Project, Marie-Curie Actions Acknowledgments: Slobodan Žumer (adviser) Miha Ravnik, Rudolf Peierls Centre for Theoretical Physics, Univerza v Oxfordu, in FMF-UL. Frédéric Hecht, Laboratoire Jacques-Louis Lyon, UPMC, Paris 6. Daniel Svenšek Igor Muševič Miha Škarabot Martin Čopič Uroš Tkalec


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