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

Dynamic Equilibrium02:20

Dynamic Equilibrium

62.7K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
62.7K
Molecular Comparison of Gases, Liquids, and Solids02:26

Molecular Comparison of Gases, Liquids, and Solids

55.1K
Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
55.1K
Rise of Liquid in a Capillary Tube01:18

Rise of Liquid in a Capillary Tube

3.2K
When very thin cylindrical tubes, called capillaries, are dipped in a liquid, the liquid rises or falls in the tube compared to the surrounding liquid. This phenomenon is called capillary action. Capillary action occurs due to the combination of two opposing forces: the cohesive forces of the liquid, which cause it to stick to itself and form a rounded shape, and the adhesive forces between the liquid and the walls of the container, which cause the liquid to be attracted to the container walls.
3.2K
Deriving the Speed of Sound in a Liquid01:09

Deriving the Speed of Sound in a Liquid

967
As with waves on a string, the speed of sound or a mechanical wave in a fluid depends on the fluid's elastic modulus and inertia. The two relevant physical quantities are the bulk modulus and the density of the material. Indeed, it turns out that the relationship between speed and the bulk modulus and density in fluids is the same as that between the speed and the Young's modulus and density in solids.
The speed of sound in fluids can be derived by considering a mechanical wave...
967
High-Performance Liquid Chromatography: Introduction01:11

High-Performance Liquid Chromatography: Introduction

3.5K
High-performance liquid chromatography(HPLC), formerly referred to as High-pressure liquid chromatography, is a powerful technique used to separate, identify, and quantify components in complex mixtures. The term "high pressure" refers to using high pressure to push the liquid mobile phase through the tightly packed columns.
In HPLC, two phases play a critical role in the separation process:
3.5K
High-Performance Liquid Chromatography: Instrumentation00:57

High-Performance Liquid Chromatography: Instrumentation

3.0K
High-performance liquid chromatography, or HPLC, is an analytical technique that separates liquid samples under high pressures. An HPLC instrument consists of glass bottles for storing solvents called mobile phase reservoirs. HPLC-grade solvents are used to maintain high purity, and the dissolved gases are removed using a degasser, such as a vacuum pumping system or sparging with helium. The solvents are then pumped into the analytical column using a screw-driven syringe or reciprocating pumps.
3.0K

You might also read

Related Articles

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

Sort by
Same author

Benchmarking autoregressive conditional diffusion models for turbulent flow simulation.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Low-Barrier Dataset Collection With Real Human Body for Interactive Per-Garment Virtual Try-On.

IEEE computer graphics and applications·2025
Same author

Current tuberculosis status and challenges among dialysis patients in Japan: A nationwide cross-sectional survey.

Medicine·2025
Same author

Interactive Texture Segmentation of 3-D Scanned Models Leveraging Multiview Automatic Segmentation.

IEEE computer graphics and applications·2025
Same author

Sapporo: A workflow execution service that encourages the reuse of workflows in various languages in bioinformatics.

F1000Research·2024
Same author

Unsteady cylinder wakes from arbitrary bodies with differentiable physics-assisted neural network.

Physical review. E·2024
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: Feb 1, 2026

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

6.0K

Simulating Liquids on Dynamically Warping Grids.

Hikaru Ibayashi, Chris Wojtan, Nils Thuerey

    IEEE Transactions on Visualization and Computer Graphics
    |December 4, 2018
    PubMed
    Summary
    This summary is machine-generated.

    We present dynamically warping grids for adaptive liquid simulation, combining regular grid simplicity with unstructured grid adaptivity. This method offers fast, flexible, and robust fluid simulations with easier implementation.

    More Related Videos

    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy
    07:37

    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy

    Published on: December 20, 2012

    13.3K
    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
    06:37

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

    Published on: September 17, 2021

    5.1K

    Related Experiment Videos

    Last Updated: Feb 1, 2026

    Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
    08:54

    Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

    Published on: January 25, 2020

    6.0K
    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy
    07:37

    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy

    Published on: December 20, 2012

    13.3K
    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
    06:37

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

    Published on: September 17, 2021

    5.1K

    Area of Science:

    • Computer Graphics
    • Computational Physics
    • Scientific Simulation

    Background:

    • Unstructured grids are effective for adaptive fluid simulations but complex to implement.
    • Regular grids offer simpler implementation and efficient memory access but lack adaptivity.

    Purpose of the Study:

    • To introduce a novel method for adaptive liquid simulation using dynamically warping grids.
    • To combine the benefits of regular and unstructured grids for fluid simulations.

    Main Methods:

    • Developing a strategy for dynamically deforming regular grids during simulation.
    • Implementing an efficient method for utilizing these deforming grids in liquid simulations.

    Main Results:

    • Achieved practical and controllable spatial adaptivity in simulations.
    • Demonstrated fast, flexible, and robust adaptive liquid simulations.
    • Maintained simplicity of implementation and leveraged existing algorithms.

    Conclusions:

    • Dynamically warping grids offer a powerful approach to adaptive liquid simulation.
    • The method successfully integrates the advantages of regular and unstructured grid approaches.
    • This technique provides a robust and efficient solution for complex fluid dynamics problems.