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

Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...

You might also read

Related Articles

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

Sort by
Same author

Glucagon-like peptide-1 receptor agonist in large vessel occlusion treated by reperfusion therapy-a phase 2 randomized trial.

Nature communications·2025
Same author

Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping.

Science (New York, N.Y.)·2025
Same author

Torque about electrostatically charged spheres makes them more attractive.

Soft matter·2024
Same author

Collective behavior of composite active particles.

Physical review. E·2022
Same author

Fluid dynamics and cell-bound Psl polysaccharide allows microplastic capture, aggregation and subsequent sedimentation by Pseudomonas aeruginosa in water.

Environmental microbiology·2022
Same author

Point Absorber Limits to Future Gravitational-Wave Detectors.

Physical review letters·2021

Related Experiment Video

Updated: Jul 13, 2026

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials
08:53

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Published on: March 7, 2025

Intruder clustering in three-dimensional granular beds.

L T Lui1, Michael R Swift, R M Bowley

  • 1School of Physics and Astronomy, University of Nottingham, Nottingham, UK.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 7, 2007
PubMed
Summary

Computer simulations show that neutrally buoyant intruders in vibrated granular beds cluster together. Excitation type and intruder number influence clustering, with non-sinusoidal vibrations allowing partial mixing and walls affecting intruder behavior.

More Related Videos

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Related Experiment Videos

Last Updated: Jul 13, 2026

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials
08:53

Quantifying Three-Dimensional Cell Migration Within and Into Granular Hydrogel Biomaterials

Published on: March 7, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

Area of Science:

  • Physics
  • Complex Systems
  • Granular Materials

Background:

  • Granular materials exhibit complex behaviors when subjected to external forces.
  • Understanding intruder dynamics is key to characterizing granular flow and mixing.

Purpose of the Study:

  • To investigate the clustering behavior of neutrally buoyant intruders in a 3D vibrated granular bed.
  • To explore the influence of excitation type, intruder density, and boundaries on intruder interactions.

Main Methods:

  • Computer simulations of three-dimensional granular systems.
  • Utilized sinusoidal and non-sinusoidal vertical vibration profiles.
  • Analyzed intruder-intruder interactions and spatial distribution.

Main Results:

  • Neutrally buoyant intruders form clusters in vibrated granular beds.
  • Clustering strength increases with the number of intruders.
  • Non-sinusoidal excitation can be used to partially mix intruder clusters.
  • Boundary effects (walls) were observed to influence intruder clustering.

Conclusions:

  • The clustering of intruders in vibrated granular media is controllable.
  • Excitation waveform and boundary conditions are critical parameters for manipulating granular intruder behavior.
  • Simulation results provide insights into mixing and segregation phenomena in granular systems.