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

Vapor Pressure02:34

Vapor Pressure

41.1K
When a liquid vaporizes in a closed container, gas molecules cannot escape. As these gas phase molecules move randomly about, they will occasionally collide with the surface of the condensed phase, and in some cases, these collisions will result in the molecules re-entering the condensed phase. The change from the gas phase to the liquid is called condensation. When the rate of condensation becomes equal to the rate of vaporization, neither the amount of the liquid nor the amount of the vapor...
41.1K
Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer02:57

Definition and Measurement of Pressure: Atmospheric Pressure, Barometer, and Manometer

43.6K
Gas pressure is caused by force exerted by gas molecules colliding with the surfaces of objects. Although the force of each collision is very small, any surface of an appreciable area experiences a large number of collisions in a short time, which can result in high pressure.
43.6K
Second Order systems II01:18

Second Order systems II

414
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
414
First Order Systems01:21

First Order Systems

435
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
435
Second Order systems I01:20

Second Order systems I

618
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
618
Constant Pressure Calorimetry03:02

Constant Pressure Calorimetry

97.9K
Calorimetry is a technique used to measure the amount of heat involved in a chemical or physical process or to measure the heat transferred to or from a substance. The heat is exchanged with a calibrated and insulated device called the calorimeter. Calorimetry experiments are based on the assumption that there is no heat exchange between the insulated calorimeter and the external environment. The well-insulated calorimeters prevent the transfer of heat between the calorimeter and its external...
97.9K

You might also read

Related Articles

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

Sort by
Same author

Free-energy analysis of bubble nucleation on electrocatalytic surfaces.

Physical chemistry chemical physics : PCCP·2026
Same author

Live Imaging of Silver Nanostructures Electrochemically Dissolving at Open-Circuit Potential.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Quantum tunneling and anti-tunneling across entropic barriers.

The Journal of chemical physics·2025
Same author

Open the Pores: Particles with Fully Accessible Hierarchical Pore Networks by Controlling Phase Separation in Confinement.

Journal of the American Chemical Society·2025
Same author

A workflow for modeling radiolysis in chemically, physically, and geometrically complex scenarios.

iScience·2025
Same author

Active polymer behavior in two dimensions: A comparative analysis of tangential and push-pull models.

The Journal of chemical physics·2025
Same journal

Erratum: Low-dimensional model for adaptive networks of spiking neurons [Phys. Rev. E 111, 014422 (2025)].

Physical review. E·2026
Same journal

Disentangling the effects of many-body forces on depletion interactions.

Physical review. E·2026
Same journal

Charge transport and mode transition in dual-energy electron beam diodes.

Physical review. E·2026
Same journal

Optimization of multisite reactions in complex compartmentalized media.

Physical review. E·2026
Same journal

Origin of geometric cohesion in nonconvex granular materials: Interplay between interdigitation and rotational constraints enhancing frictional stability.

Physical review. E·2026
Same journal

Interaction of walkers with a standing Faraday wave.

Physical review. E·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

Fabrication of Spatially Confined Complex Oxides
08:45

Fabrication of Spatially Confined Complex Oxides

Published on: July 1, 2013

10.2K

Local pressure for confined systems.

Paolo Malgaretti1, Markus Bier1

  • 1Max Planck Institute for Intelligent Systems, Heisenbergstrasse 3, 70569 Stuttgart, Germany and Institute for Theoretical Physics IV, University of Stuttgart, Pfaffenwaldring 57, 70569 Stuttgart, Germany.

Physical Review. E
|March 18, 2018
PubMed
Summary
This summary is machine-generated.

Researchers derived a formula for fluid pressure on channel walls. This pressure depends on wall shape, but approximations fail for highly curved surfaces due to particle interactions.

More Related Videos

Synthesis and Microdiffraction at Extreme Pressures and Temperatures
07:26

Synthesis and Microdiffraction at Extreme Pressures and Temperatures

Published on: October 7, 2013

11.7K
Forming, Confining, and Observing Microtubule-Based Active Nematics
08:37

Forming, Confining, and Observing Microtubule-Based Active Nematics

Published on: January 13, 2023

3.2K

Related Experiment Videos

Last Updated: Feb 13, 2026

Fabrication of Spatially Confined Complex Oxides
08:45

Fabrication of Spatially Confined Complex Oxides

Published on: July 1, 2013

10.2K
Synthesis and Microdiffraction at Extreme Pressures and Temperatures
07:26

Synthesis and Microdiffraction at Extreme Pressures and Temperatures

Published on: October 7, 2013

11.7K
Forming, Confining, and Observing Microtubule-Based Active Nematics
08:37

Forming, Confining, and Observing Microtubule-Based Active Nematics

Published on: January 13, 2023

3.2K

Area of Science:

  • Physics
  • Physical Chemistry
  • Materials Science

Background:

  • Understanding fluid behavior in confined geometries is crucial for microfluidics and nanotechnology.
  • The relationship between fluid pressure and wall geometry is complex, especially at the nanoscale.

Purpose of the Study:

  • To derive a general expression for local pressure exerted by a fluid on corrugated channel walls.
  • To investigate the limitations of existing thermodynamic models for confined fluids.

Main Methods:

  • Derivation of a closed-form expression for local pressure.
  • Analysis of fluid-particle interactions and their influence on pressure distribution.
  • Comparison with approximate schemes like surface tension and morphometric thermodynamics.

Main Results:

  • A general closed expression for local pressure on corrugated walls was obtained.
  • Local pressure was shown to be a functional of wall shape for equilibrium fluids.
  • The study identified limitations for approximate schemes when wall curvature is significant relative to interaction range.

Conclusions:

  • The derived pressure formula provides a more accurate description of fluid behavior in confined spaces.
  • Nonlocal fluid-particle interactions fundamentally limit the applicability of simplified thermodynamic models.
  • Accurate modeling requires consideration of interaction range relative to surface geometry.