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

Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

1.1K
Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
1.1K
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

157.4K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
157.4K
Dimensionless Groups in Fluid Mechanics01:15

Dimensionless Groups in Fluid Mechanics

1.1K
Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
1.1K
Accelerating Fluids01:17

Accelerating Fluids

2.2K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
2.2K
Typical Model Studies01:30

Typical Model Studies

842
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
842
Pressure Variation in a Fluid at Rest01:11

Pressure Variation in a Fluid at Rest

1.1K
In a fluid at rest, the pressure at any point beneath the fluid surface depends solely on the depth, not on the container's shape or size. This principle, known as hydrostatic pressure, arises because, in stationary fluids, there is no acceleration, meaning the forces within the fluid balance out. Only vertical forces, caused by the weight of the fluid above, contribute to pressure changes with depth.
When measuring pressure at two different levels within the fluid, the difference in...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Phase retrieval via gain-based photonic XY-Hamiltonian optimization.

Communications physics·2026
Same author

Analog optical computer for AI inference and combinatorial optimization.

Nature·2025
Same author

Training of physical neural networks.

Nature·2025
Same author

A century of Bose-Einstein condensation.

Communications physics·2025
Same author

Fully Programmable Spatial Photonic Ising Machine by Focal Plane Division.

Physical review letters·2025
Same author

Room temperature polaritonic soft-spin XY Hamiltonian in organic-inorganic halide perovskites.

Nanophotonics (Berlin, Germany)·2024
Same journal

The TaMYB55-TaSnRK1α1-TabZIP9 module confers heat stress tolerance in wheat.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Superstatistics approach to turbulent circulation fluctuations.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A molecular timescale for evolution of cobamide biosynthesis.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Pierre Chambon, a pioneer of molecular biology and gene regulation in eukaryotes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Granulosa cell glycogen fuels the avascular corpus luteum.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Synthetic essentiality of TRAIL/TNFSF10 in VHL-deficient renal cell carcinoma.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: May 1, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.3K

Modeling quantum fluid dynamics at nonzero temperatures.

Natalia G Berloff1, Marc Brachet, Nick P Proukakis

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|April 8, 2014
PubMed
Summary
This summary is machine-generated.

Finite temperature effects on quantum turbulence were studied using a nonlinear classical-field equation. Vortex multiplication drives density growth at low temperatures, a process suppressed at higher temperatures.

Keywords:
(truncated) Gross–Pitaevskii equationZNG theoryquantum Boltzmann equationstochastic Ginzburg–Landau equationsuperfluidity

More Related Videos

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

7.6K
Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

6.7K

Related Experiment Videos

Last Updated: May 1, 2026

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
10:23

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

1.3K
An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

7.6K
Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature
08:04

Controlling Flow Speeds of Microtubule-Based 3D Active Fluids Using Temperature

Published on: November 26, 2019

6.7K

Area of Science:

  • Physics
  • Quantum Fluids
  • Quantum Turbulence

Background:

  • Understanding quantum turbulence in superfluids requires accounting for finite temperature effects.
  • The Landau two-fluid model, while successful, has limitations in describing vortex dynamics and interactions at relevant scales.
  • Quantized vortex behavior is crucial for comprehending superfluid dynamics.

Purpose of the Study:

  • Introduce a novel framework for describing finite-temperature effects in quantum turbulence.
  • Enable self-consistent analysis of vortex line severing and coalescence.
  • Investigate vortex behavior under changing pressure conditions.

Main Methods:

  • Developed a nonlinear classical-field equation, mathematically equivalent to the Landau model.
  • Incorporated mechanisms for vortex line dynamics (severing and coalescence).
  • Applied extensions and numerical refinements from weakly interacting Bose gas theories.

Main Results:

  • The framework allows for self-consistent study of quantized vortices.
  • Vortex line density increases via vortex multiplication during core contraction at low temperatures.
  • This multiplication mechanism is significantly suppressed at higher temperatures.

Conclusions:

  • The proposed nonlinear classical-field equation offers a robust method for studying finite-temperature quantum turbulence.
  • Vortex multiplication is identified as a key mechanism influencing vortex line density at low temperatures.
  • Temperature plays a critical role in suppressing vortex multiplication and thus controlling quantum turbulence dynamics.