Detection and Visualization of Defects in 3D Unstructured Models of Nematic Liquid Crystals

  • Authors:
  • Ketan Mehta;T. J. Jankun-Kelly

  • Affiliations:
  • -;IEEE

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

A method for the semi-automatic detection and visualization of defects in models of nematic liquid crystals (NLCs) is introduced; this method is suitable for unstructured models, a previously unsolved problem. The detected defects---also known as \emph{disclinations}---are regions were the alignment of the liquid crystal rapidly changes over space; these defects play a large role in the physical behavior of the NLC substrate. Defect detection is based upon a measure of total angular change of crystal orientation (the \emph{director}) over a node neighborhood via the use of a nearest neighbor path. Visualizations based upon the detection algorithm clearly identifies complete defect regions as opposed to incomplete visual descriptions provided by cutting-plane and isosurface approaches. The introduced techniques are currently in use by scientists studying the dynamics of defect change.