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

Determination of Molar Masses of Polymers II01:27

Determination of Molar Masses of Polymers II

Polymer samples typically consist of macromolecular chains with a distribution of lengths, resulting in a range of molar masses rather than a single discrete value. Conventional descriptors such as the number-average molar mass and weight-average molar mass quantify this distribution but do not fully capture polymer behavior in solution..The viscosity-average molar mass provides a more realistic description of polymer behavior in solution because it accounts for the enhanced contribution of...

You might also read

Related Articles

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

Sort by
Same author

Nonlocal Effect of Percolated Particle Networks on Viscoelasticity of Polymer-Filler Nanocomposites: A Mesoscale Simulation Study.

Macromolecules·2026
Same author

Understanding Viscoelasticity of an Entangled Silicone Copolymer via Coarse-Grained Molecular Dynamics Simulations.

Macromolecules·2026
Same author

Kinetic Monte Carlo Framework for Coupled Degradation and Dehydration of Anion Exchange Membranes.

Journal of chemical theory and computation·2026
Same author

Modeling of Sagging for 3D Printed Layers During the Curing Process.

3D printing and additive manufacturing·2025
Same author

Anomalous softening of 3D printed elastomeric foam irradiated under compressive strain.

Scientific reports·2025
Same author

Development of a coarse-grained molecular dynamics model for poly(dimethyl-<i>co</i>-diphenyl)siloxane.

Soft matter·2024

Related Experiment Video

Updated: Jun 24, 2026

Planar and Three-Dimensional Printing of Conductive Inks
10:49

Planar and Three-Dimensional Printing of Conductive Inks

Published on: December 9, 2011

37.9K

Structure and Flow-Viscosity of Filled-Polymer-Based 3D Printing Ink: Exploration through Coarse-Grained Molecular

Supun S Mohottalalage1, John J Karnes1, Spencer C Schmidt1

  • 1Lawrence Livermore National Laboratory, Livermore, California 94550, United States.

ACS Omega
|March 2, 2026
PubMed
Summary

Adding nanofillers to polymers improves mechanical properties, but simulations are complex. This study used molecular dynamics to show how filler size affects polymer chain behavior, clustering, and material strength, offering insights into nanocomposite design.

More Related Videos

Inkjet-printed Polyvinyl Alcohol Multilayers
05:11

Inkjet-printed Polyvinyl Alcohol Multilayers

Published on: May 11, 2017

13.1K
Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders
06:01

Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders

Published on: October 4, 2022

1.7K

Related Experiment Videos

Last Updated: Jun 24, 2026

Planar and Three-Dimensional Printing of Conductive Inks
10:49

Planar and Three-Dimensional Printing of Conductive Inks

Published on: December 9, 2011

37.9K
Inkjet-printed Polyvinyl Alcohol Multilayers
05:11

Inkjet-printed Polyvinyl Alcohol Multilayers

Published on: May 11, 2017

13.1K
Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders
06:01

Frugal Imaging Technique of Capillary Flow Through Three-Dimensional Polymeric Printing Powders

Published on: October 4, 2022

1.7K

Area of Science:

  • Polymer Science
  • Materials Science
  • Computational Chemistry

Background:

  • Nanofillers enhance polymer composite properties.
  • Molecular simulations are computationally intensive for these systems.
  • Understanding polymer-nanofiller interactions is key for material design.

Purpose of the Study:

  • To quantitatively assess polymer nanocomposite properties using molecular dynamics.
  • To investigate the influence of filler particle size on material behavior.
  • To simulate dynamic processes like cluster breakup and flow.

Main Methods:

  • Coarse-grained molecular dynamics simulations.
  • Fixed filler loading (25 vol %) with weak polymer-filler interactions.
  • Simulation of tensile strain, cluster breakup, yielding, and elongational flow.

Main Results:

  • Equilibrium polymer chain configuration remains Gaussian-like.
  • Smaller fillers tend to cluster more than larger ones.
  • Larger fillers act as plasticizers, increasing chain mobility and reducing entanglement.
  • Tensile modulus increases with filler loading, especially for larger particles.
  • Flow viscosity depends on filler size and polymer chain length.

Conclusions:

  • Filler size significantly impacts polymer nanocomposite properties.
  • Molecular dynamics simulations provide quantitative insights into complex behaviors.
  • Findings guide the design of advanced polymer nanocomposites.