Conference proceeding
Modeling and experimental study of LC alignment induced by nanopatterned structures
Proceedings of SPIE, v 5518(1), pp 144-154
15 Oct 2004
Abstract
The nature of the liquid crystal (LC) alignment in devices is a crucial parameter in the operating efficiency of these devices and there are numerous methods to induce LC alignment. Nanopatterned substrates of polymers including PMMA and PTFE are known to influence the LC alignment due to the confinement. Nanopatterned polymer substrates created using the NanoIndenter have dimensions 500nm x 500nm x 100nm. Following this procedure, the LC alignment is studied after its deposition these nanopatterned surfaces. The LC alignment variation is observed using a Polarizing Optical Microscope (POM). The POM images will be analyzed to map the pixel values to LC alignment in different patterns like grid structures and grooves. Also, finite difference modeling is used to study the theoretical nature of the LC alignment. The Simulated Annealing algorithm is used to minimize the energy of the LC on the patterned surface. Various boundary conditions like anchoring on the side and top walls and surface anchoring strengths will be applied to observe the nature of the resulting alignment. Modeling results of the LC alignment, when performed on different patterns like square grids, triangular and sawtooth shaped substrates shall be compared with the experimental results.
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Details
- Title
- Modeling and experimental study of LC alignment induced by nanopatterned structures
- Creators
- Hemang J Shah - Drexel UniversityAdam K Fontecchio - Drexel University
- Publication Details
- Proceedings of SPIE, v 5518(1), pp 144-154
- Conference
- Liquid Crystals VIII, 8th
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000225436300015
- Scopus ID
- 2-s2.0-13244255236
- Other Identifier
- 991020531967404721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Crystallography
- Optics