Visualizing diffusion tensor images of the mouse spinal cord
Proceedings of the conference on Visualization '98
Simulations of liquid crystals
Computers in Physics
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces
IEEE Transactions on Visualization and Computer Graphics
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
VIS '04 Proceedings of the conference on Visualization '04
VIS '04 Proceedings of the conference on Visualization '04
Detection and Visualization of Defects in 3D Unstructured Models of Nematic Liquid Crystals
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics
Visualization for the Physical Sciences
Computer Graphics Forum
An evaluation of glyph perception for real symmetric traceless tensor properties
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Hi-index | 0.00 |
We present visualization tools for analyzing molecular simulations of liquid crystal (LC) behavior. The simulation data consists of terabytes of data describing the position and orientation of every molecule in the simulated system over time. Condensed matter physicists study the evolution of topological defects in these data, and our visualization tools focus on that goal. We first convert the discrete simulation data to a sampled version of a continuous second-order tensor field and then use combinations of visualization methods to simultaneously display combinations of contractions of the tensor data, providing an interactive environment for exploring these complicated data. The system, built using AVS, employs colored cutting planes, colored isosurfaces, and colored integral curves to display fields of tensor contractions including Westin's scalar cl, cp, and cs metrics and the principal eigenvector. Our approach has been in active use in the physics lab for over a year. It correctly displays structures already known; it displays the data in a spatially and temporally smoother way than earlier approaches, avoiding confusing grid effects and facilitating the study of multiple time steps; it extends the use of tools developed for visualizing diffusion tensor data, re-interpreting them in the context of molecular simulations; and it has answered long-standing questions regarding the orientation of molecules around defects and the conformational changes of the defects