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

The Fluid Mosaic Model01:34

The Fluid Mosaic Model

178.4K
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.
178.4K
Metallic Solids02:37

Metallic Solids

20.7K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
20.7K
Structures of Solids02:22

Structures of Solids

17.8K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.8K
Fluid Mosaic Model01:19

Fluid Mosaic Model

16.7K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
16.7K
Network Covalent Solids02:18

Network Covalent Solids

16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Parallel Resonance01:23

Parallel Resonance

563
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by:
563

You might also read

Related Articles

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

Sort by
Same author

Modelling the role of interaction heterogeneity in the gelation of micron-scale colloidal systems.

Soft matter·2026
Same author

von Willebrand Factor fibers formed at pathological high shear provide a scaffold for α-synuclein binding and aggregation.

Scientific reports·2026
Same author

Volume electron microscopy reveals heterogeneity of the hemostatic response in veins and arteries.

Blood advances·2026
Same author

Understanding how a highly prevalent GRK5 polymorphism affects platelets and enhances thrombotic risk.

Blood·2026
Same author

From imaging to computational domains for physics-driven molecular biology simulations: Hindered diffusion in platelet masses.

PLoS computational biology·2025
Same author

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

Frontiers in public health·2025
Same journal

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.

Journal of computational science·2025
Same journal

Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.

Journal of computational science·2025
Same journal

Dory: Computation of persistence diagrams up to dimension two for Vietoris-Rips filtrations of large data sets.

Journal of computational science·2024
Same journal

Coefficient identification in a SIS fractional-order modelling of economic losses in the propagation of COVID-19.

Journal of computational science·2023
Same journal

Proper Orthogonal Decomposition Methods for the Analysis of Real-Time Data: Exploring Peak Clustering in a Secondhand Smoke Exposure Intervention.

Journal of computational science·2023
Same journal

D-Cov19Net: A DNN based COVID-19 detection system using lung sound.

Journal of computational science·2022
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K

A parallel fluid-solid coupling model using

Jifu Tan1, Talid Sinno2, Scott L Diamond2

  • 1Department of Mechanical Engineering, Northern Illinois University, DeKalb, IL 60115, USA.

Journal of Computational Science
|September 18, 2018
PubMed
Summary
This summary is machine-generated.

A new computational method couples fluid dynamics with solid mechanics for multiphysics simulations. This approach accurately models complex fluid-solid interactions, crucial for applications like drug delivery and blood flow.

Keywords:
Immersed Boundary MethodLAMMPSLattice Boltzmann MethodPalabosParallel Computing

More Related Videos

Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors
09:00

Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors

Published on: August 18, 2016

8.1K
Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation
09:03

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation

Published on: November 17, 2014

10.2K

Related Experiment Videos

Last Updated: Feb 5, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K
Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors
09:00

Spatial Measurements of Perfusion, Interstitial Fluid Pressure and Liposomes Accumulation in Solid Tumors

Published on: August 18, 2016

8.1K
Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation
09:03

Murine Corneal Transplantation: A Model to Study the Most Common Form of Solid Organ Transplantation

Published on: November 17, 2014

10.2K

Area of Science:

  • Multiphysics simulations
  • Computational fluid dynamics
  • Solid mechanics

Background:

  • Coupled fluid-solid dynamics are vital in biological and engineering fields.
  • Applications include blood cell transport, drug delivery, and particulate flow analysis.

Purpose of the Study:

  • To develop and validate a partitioned computational approach for simulating viscous fluid flow coupled with rigid or deformable solids.
  • To model complex fluid-solid interactions using established simulation packages.

Main Methods:

  • A partitioned approach was developed, utilizing Palabos for fluid motion (Parallel Lattice Boltzmann Solver) and LAMMPS for solid mechanics (Large-scale Atomic/Molecular Massively Parallel Simulator).
  • The immersed boundary method (IBM) was employed for coupling fluid and solid phases.
  • The code was validated against Jeffery orbits, red blood cell stretching, and blood viscosity in tubes.

Main Results:

  • The developed code accurately modeled both rigid and deformable solids in flow.
  • The simulation demonstrated excellent scalability, showing near-linear performance from 512 to 8192 cores for both strong and weak scaling.
  • Computing time correlated with the solid fraction, and flexible filament transport in blood suspensions was successfully simulated.

Conclusions:

  • The developed partitioned approach effectively simulates coupled fluid-solid Multiphysics problems.
  • The code is validated and shows high performance scalability.
  • This method offers a powerful tool for studying phenomena like drug carrier transport in biological flows.