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

You might also read

Related Articles

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

Sort by
Same author

Impact of aortic valve leaflets calcium volume and distribution on Post-TAVR conduction abnormalities.

Computer methods and programs in biomedicine·2026
Same author

The Effect of von Willebrand Disease on Platelet Adhesion Dynamics: Correlating a Multiscale Platelet Model to In Vitro Results.

IEEE transactions on bio-medical engineering·2026
Same author

Development of a Polymeric TAVR Device Tailored to Bicuspid Aortic Valve Patients Using In Silico Design Optimization and Evaluation.

Annals of biomedical engineering·2025
Same author

Impact of Aortic Valve Leaflets Calcium Volume and Distribution on Post-TAVR Conduction Abnormalities.

medRxiv : the preprint server for health sciences·2025
Same author

Impact of Device Type and Orientation on Post-Transcatheter Aortic Valve Replacement Complications in Bicuspid Aortic Valve Patients: A Computational Study.

ASAIO journal (American Society for Artificial Internal Organs : 1992)·2025
Same author

Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach.

Computer methods and programs in biomedicine·2024

Related Experiment Video

Updated: Apr 18, 2026

Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro
10:25

Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro

Published on: March 19, 2016

10.1K

A Multiple Time Stepping Algorithm for Efficient Multiscale Modeling of Platelets Flowing in Blood Plasma.

Peng Zhang1, Na Zhang2, Yuefan Deng3

  • 1Department of Biomedical Engineering, Stony Brook University, NY 11794, United States.

Journal of Computational Physics
|February 3, 2015
PubMed
Summary

A new multiple time-stepping (MTS) algorithm enhances computational efficiency for modeling blood platelets. This method significantly reduces simulation time for multiscale modeling of platelet dynamics in blood flow.

Keywords:
coarse-grained molecular dynamicsmultiple time steppingmultiscale modeling

More Related Videos

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

14.6K
In Vivo Two-photon Imaging of Megakaryocytes and Proplatelets in the Mouse Skull Bone Marrow
07:58

In Vivo Two-photon Imaging of Megakaryocytes and Proplatelets in the Mouse Skull Bone Marrow

Published on: July 28, 2021

5.0K

Related Experiment Videos

Last Updated: Apr 18, 2026

Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro
10:25

Microfluidic Flow Chambers Using Reconstituted Blood to Model Hemostasis and Platelet Transfusion In Vitro

Published on: March 19, 2016

10.1K
A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

14.6K
In Vivo Two-photon Imaging of Megakaryocytes and Proplatelets in the Mouse Skull Bone Marrow
07:58

In Vivo Two-photon Imaging of Megakaryocytes and Proplatelets in the Mouse Skull Bone Marrow

Published on: July 28, 2021

5.0K

Area of Science:

  • Computational fluid dynamics
  • Biophysics
  • Materials science

Background:

  • Modeling blood platelet dynamics in viscous plasma presents computational challenges due to disparate spatial and temporal scales.
  • Existing multiple time-stepping (MTS) algorithms offer limited efficiency gains for large scale differentials.

Purpose of the Study:

  • To develop a novel MTS algorithm for efficient multiscale modeling of flowing platelet dynamics.
  • To address the significant temporal scale disparity between Dissipative Particle Dynamics (DPD) and Coarse-Grained Molecular Dynamics (CGMD).

Main Methods:

  • Hybridized DPD and CGMD methods were employed to simulate deformable platelets in blood flow.
  • A novel MTS scheme utilized four distinct time-stepping sizes for fluid, interface, and platelet internal structures.
  • Parameters were introduced to analyze accuracy versus computational complexity trade-offs.

Main Results:

  • The new MTS algorithm achieved a 3000x reduction in computing time compared to standard MTS methods.
  • The approach effectively handled 3-4 orders of magnitude disparity in temporal scales between DPD and CGMD.
  • Computational feasibility was demonstrated for particle-based multiscale simulations.

Conclusions:

  • The developed MTS algorithm provides a computationally efficient solution for multiscale simulations of platelet dynamics.
  • This method enables accurate and feasible simulations of complex biological fluid systems.
  • The approach opens new avenues for studying platelet behavior under flow conditions.