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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

438
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
438
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

961
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
961
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

13.8K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
13.8K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

1.6K
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
1.6K

You might also read

Related Articles

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

Sort by
Same author

Spatial Variability and Pollutant-specific Mitigation Effects of an Urban Vegetated Park Observed with a High-density Air Quality Sensor Network.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Aircraft observations of black carbon over the Yellow Sea and Seoul Metropolitan Area: Vertical profiles and air mass origin influence.

Journal of environmental sciences (China)·2026
Same author

2025 Korean Guidelines for Cardiopulmonary Resuscitation: Part 11. First aid.

Clinical and experimental emergency medicine·2026
Same author

Uncovering multidimensional patterns of insufficient effort responding: A latent profile analysis integrating survey data and cognitive task performance.

Acta psychologica·2026
Same author

Atomistic Insights into the Electrochemical Oxygen Evolution Activity of Hollandite IrO<sub>2</sub> Surfaces.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Promoter-Free Synthesis of Wafer-Scale Monolayer MoS<sub>2</sub> for Visible to Near-Infrared Photodetection.

ACS applied materials & interfaces·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: May 1, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

14.1K

Finite-difference lattice Boltzmann method with a block-structured adaptive-mesh-refinement technique.

Abbas Fakhari1, Taehun Lee1

  • 1Department of Mechanical Engineering, The City College of the City University of New York, New York 10031, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|April 16, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient adaptive-mesh-refinement (AMR) algorithm for the finite-difference lattice Boltzmann method (FDLBM). By eliminating tree data structures, this method enhances performance and simplifies implementation on parallel systems.

More Related Videos

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

5.9K
Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

779

Related Experiment Videos

Last Updated: May 1, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

14.1K
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

5.9K
Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
05:37

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

Published on: August 22, 2025

779

Area of Science:

  • Computational fluid dynamics
  • Numerical methods

Background:

  • The finite-difference lattice Boltzmann method (FDLBM) is a powerful tool for simulating fluid flows.
  • Adaptive mesh refinement (AMR) is crucial for efficiently resolving complex flow features.
  • Existing AMR methods often rely on tree-based data structures, which can be computationally expensive.

Purpose of the Study:

  • To develop a novel AMR algorithm for FDLBM that avoids traditional tree-based data structures.
  • To enhance the efficiency and ease of implementation of FDLBM with AMR.
  • To enable simulations with varying mesh resolutions across the computational domain.

Main Methods:

  • A pointer-based attribute system is proposed to manage neighboring blocks, eliminating the need for tree traversal.
  • The Eulerian formulation of the streaming process is employed to handle different mesh sizes.
  • No rescaling of distribution functions or temporal interpolation is required at grid boundaries.

Main Results:

  • The proposed AMR algorithm significantly reduces memory and time overhead associated with tree traversal.
  • The method demonstrates high efficiency and ease of use on parallel computing architectures.
  • Accurate simulations of various vorticity-dominated flows, including Taylor-Green vortex, lid-driven cavity, thin shear layer, and flow past a square cylinder, were achieved.

Conclusions:

  • The developed FDLBM AMR algorithm offers a more efficient and user-friendly approach to simulating complex fluid flows.
  • The pointer-based strategy effectively overcomes the limitations of traditional tree-based AMR methods.
  • The validated accuracy and efficiency make this method suitable for a wide range of CFD applications.