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

Surface Tension of Fluid01:22

Surface Tension of Fluid

Surface tension is a fundamental property of fluids, occurring at the boundary between a liquid and a gas or between two immiscible liquids. This phenomenon arises from the cohesive forces between molecules at the fluid's surface, creating an effect similar to a stretched elastic membrane. Inside each fluid, molecules are equally attracted in all directions by neighboring molecules, but surface molecules experience a net inward force, resulting in surface tension.
Surface tension varies with...
Partial Differential Equations01:21

Partial Differential Equations

A stone dropped into a still pond generates waves that propagate outward in circular patterns, creating a dynamic surface whose elevation depends on both position and time. At any given location, the water level oscillates as the wave passes, while at any fixed moment, the surface exhibits smooth, curved structures extending across space. This dual dependence requires a mathematical description that accounts for variation in multiple variables simultaneously.At a fixed point on the water...

You might also read

Related Articles

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

Sort by
Same author

Immersed boundary-lattice Boltzmann mesoscale method for wetting problems.

Physical review. E·2025
Same author

Data-driven reconstruction of a multivariate Langevin equation to model complex systems.

Physical review. E·2025
Same author

Neural parameter calibration and uncertainty quantification for epidemic forecasting.

PloS one·2024
Same author

Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig example.

Physical review. E·2024
Same author

Bubble ascent and rupture in mud volcanoes.

Royal Society open science·2024
Same author

Forecasting with an N-dimensional Langevin equation and a neural-ordinary differential equation.

Chaos (Woodbury, N.Y.)·2024
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Jun 14, 2026

High Throughput Analysis of Liquid Droplet Impacts
09:00

High Throughput Analysis of Liquid Droplet Impacts

Published on: March 6, 2020

Two-dimensional droplet spreading over random topographical substrates.

Nikos Savva1, Serafim Kalliadasis, Grigorios A Pavliotis

  • 1Department of Chemical Engineering, Imperial College London, London SW7 2AZ, United Kingdom.

Physical Review Letters
|April 7, 2010
PubMed
Summary
This summary is machine-generated.

Random substrate topography affects droplet motion. Roughness inhibits wetting, causing droplets to slide rather than spread as they approach equilibrium.

More Related Videos

Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics
07:57

Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics

Published on: November 10, 2014

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

Related Experiment Videos

Last Updated: Jun 14, 2026

High Throughput Analysis of Liquid Droplet Impacts
09:00

High Throughput Analysis of Liquid Droplet Impacts

Published on: March 6, 2020

Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics
07:57

Taking Advantage of Reduced Droplet-surface Interaction to Optimize Transport of Bioanalytes in Digital Microfluidics

Published on: November 10, 2014

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer
07:54

Fluorescence Recovery after Merging a Droplet to Measure the Two-dimensional Diffusion of a Phospholipid Monolayer

Published on: October 15, 2015

Area of Science:

  • Physics
  • Materials Science
  • Statistical Mechanics

Background:

  • Understanding droplet dynamics on complex surfaces is crucial for various applications.
  • Topographical features of substrates significantly influence fluid behavior.
  • Previous studies often focused on idealized or ordered surfaces.

Purpose of the Study:

  • To theoretically investigate the impact of random topographical substrates on two-dimensional droplet motion.
  • To analyze droplet behavior at early and long-time scales.
  • To quantify the relationship between substrate roughness and wetting properties.

Main Methods:

  • Utilized statistical approaches to model substrate topography as stationary random functions.
  • Derived droplet shift variance using theoretical analysis.
  • Employed numerical experiments to validate theoretical predictions.

Main Results:

  • The droplet footprint was determined to be a normal random variable across all time scales.
  • Substrate roughness was shown to impede the wetting process.
  • Observed a tendency for droplets to slide without spreading upon approaching equilibrium.

Conclusions:

  • Theoretical framework accurately predicts droplet motion on random substrates.
  • Substrate randomness plays a key role in inhibiting wetting and promoting sliding.
  • Findings provide insights into fluid behavior on disordered materials.