Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
Equipotential Surfaces and Field Lines01:29

Equipotential Surfaces and Field Lines

Electric potential can be pictorially represented as a three-dimensional surface. On such a surface, the electric potential is constant everywhere. The equipotential surface is always perpendicular to the electric field lines, and while it is three-dimensional, it can be treated as an equipotential line in a two-dimensional case. These equipotential lines are also always perpendicular to electric field lines. The term equipotential is often used as a noun, referring to an equipotential line or...
Gauss's Law: Cylindrical Symmetry01:20

Gauss's Law: Cylindrical Symmetry

A charge distribution has cylindrical symmetry if the charge density depends only upon the distance from the axis of the cylinder and does not vary along the axis or with the direction about the axis. In other words, if a system varies if it is rotated around the axis or shifted along the axis, it does not have cylindrical symmetry. In real systems, we do not have infinite cylinders; however, if the cylindrical object is considerably longer than the radius from it that we are interested in,...
Surface Tension01:24

Surface Tension

Surface tension is defined as the force per unit length (γ) acting along the surface of a liquid. It arises due to strong intermolecular forces of attraction. A molecule located inside the bulk of the liquid is surrounded by other molecules and experiences equal forces in all directions. However, a molecule at the surface experiences unbalanced forces because there are more neighboring molecules below than above. This creates a net inward force that pulls surface molecules toward the interior,...
Gauss's Law: Spherical Symmetry01:26

Gauss's Law: Spherical Symmetry

A charge distribution has spherical symmetry if the density of charge depends only on the distance from a point in space and not on the direction. In other words, if the system is rotated, it doesn't look different. For instance, if a sphere of radius R is uniformly charged with charge density ρ0, then the distribution has spherical symmetry. On the other hand, if a sphere of radius R is charged so that the top half of the sphere has a uniform charge density ρ1 and the bottom half has a uniform...
Rotation of Asymmetric Top01:11

Rotation of Asymmetric Top

By definition, a spherically symmetric body has the same moment of inertia about any axis passing through its center of mass. This situation changes if there is no spherical symmetry. Since most rigid bodies are not spherically symmetric, these require special treatment.
The relationship between the angular momentum of any rigid body and its angular velocity, both of which are vectors, involves the moment of inertia. The moment of inertia is a scalar quantity only for spherically symmetric...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterization and Identification of Potential Allergenic Proteins in <i>Sophora japonica</i> L. Pollen.

Journal of proteome research·2026
Same author

Hairpin Vortices Extraction in Turbulent Boundary Layer Flows.

IEEE transactions on visualization and computer graphics·2026
Same author

Mastery Learning Improves Performance on Complex Tasks on PCP Literacy Test.

IEEE computer graphics and applications·2026
Same author

COF-derived photocatalytic artificial enzymes-assisted precision analysis of active ingredients in natural product extracts.

Talanta·2026
Same author

Structure-Informed Hex-Dominant Mesh Simplification.

IEEE transactions on visualization and computer graphics·2026
Same author

StockData: An open investment transaction dataset.

Data in brief·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Asymmetric tensor field visualization for surfaces.

Guoning Chen1, Darrel Palke, Lin Zhongzang

  • 1SCI, University of Utah, USA. chengu@sci.utah.edu

IEEE Transactions on Visualization and Computer Graphics
|October 29, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid visualization method for asymmetric tensor fields, combining hyperstreamlines and elliptical glyphs for better analysis of fluid flows and deformations. The technique enhances data representation and enables efficient exploration for scientists.

More Related Videos

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

Related Experiment Videos

Last Updated: May 28, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
09:37

Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data

Published on: April 26, 2016

Area of Science:

  • Scientific Visualization
  • Computational Science
  • Data Analysis

Background:

  • Asymmetric tensor field visualization is crucial for understanding fluid dynamics and solid deformations.
  • Current methods using only hyperstreamlines on surfaces offer limited insight into complex behaviors.

Purpose of the Study:

  • To develop a hybrid visualization technique for asymmetric tensor fields.
  • To improve the faithful representation of flow behaviors in complex domains.
  • To enable efficient visual exploration and analysis for domain scientists.

Main Methods:

  • Employed a hybrid approach combining hyperstreamlines (real domain) and elliptical glyphs (complex domain).
  • Encoded tensor magnitude using hyperstreamline density and glyph size.
  • Utilized an efficient image-space approach for rapid generation of visualizations.

Main Results:

  • The hybrid technique provides a more faithful representation of flow behaviors.
  • Tensor magnitude is effectively encoded, freeing color for other quantities.
  • The image-space approach facilitates quick exploration from multiple viewpoints and resolutions.

Conclusions:

  • The proposed hybrid visualization system is efficient and effective for domain scientists.
  • Demonstrated success in analyzing complex simulated engine fluid flow and earthquake deformation data.
  • Validated through feedback from domain expert scientists.