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

Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.2K
Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
2.2K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

3.4K
For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
3.4K

You might also read

Related Articles

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

Sort by
Same author

Understanding the Mechanisms Behind Increased Load Transfer in BMI-flCNT Composites Using Molecular Dynamics.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Automatic determination of mechanical properties from Molecular Dynamic Stress-Strain curves using Regression Fringe Response.

Communications engineering·2026
Same author

Nanoscale Structure-Property Relationships of Cyanate Ester as a Function of Extent of Cure.

ACS polymers Au·2025
Same author

High-performance, multi-component epoxy resin simulation for predicting thermo-mechanical property evolution during curing.

Polymer journal·2025
Same author

Optimizing Epoxy Nanocomposites with Oxidized Graphene Quantum Dots for Superior Mechanical Performance: A Molecular Dynamics Approach.

ACS omega·2025
Same author

Investigating the structure-property correlations of pyrolyzed phenolic resin as a function of degree of carbonization.

Nanoscale advances·2025

Related Experiment Video

Updated: Jun 28, 2025

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

4.5K

Optimal Molecular Dynamics System Size for Increased Precision and Efficiency for Epoxy Materials.

Khatereh Kashmari1, Sagar U Patil1, Josh Kemppainen1

  • 1Michigan Technological University, Houghton, Michigan 49931, United States.

The Journal of Physical Chemistry. B
|April 22, 2024
PubMed
Summary

Molecular dynamics simulations require optimal model sizes for efficient predictions. An epoxy resin model with 15,000 atoms balances simulation speed and accuracy for thermo-mechanical properties.

More Related Videos

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

5.7K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.2K

Related Experiment Videos

Last Updated: Jun 28, 2025

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

4.5K
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

5.7K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

2.2K

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Polymer Science

Background:

  • Molecular dynamics (MD) simulations are crucial for predicting polymer resin properties.
  • Accurate predictions require multiple simulations (replicates) due to the statistical nature of nanoscale materials.
  • Current literature lacks clear guidelines on MD model size versus prediction precision.

Purpose of the Study:

  • To determine the optimal molecular dynamics model size for epoxy resins.
  • To balance simulation efficiency (speed) with prediction precision.
  • To inform the design of advanced composite materials.

Main Methods:

  • Conducted molecular dynamics (MD) simulations of epoxy resin.
  • Varied the size of the MD models (number of atoms) to assess impact on results.
  • Analyzed the precision and simulation time for different model sizes.

Main Results:

  • An MD model size of 15,000 atoms achieved the fastest simulation times.
  • This model size did not compromise the precision of predicted thermo-mechanical properties.
  • Key properties predicted include mass density, elastic behavior, strength, and thermal characteristics.

Conclusions:

  • 15,000 atoms is identified as the optimal MD model size for epoxy resin simulations.
  • This finding supports efficient computational process modeling and integrated computational materials engineering (ICME).
  • Enables the design of next-generation composite materials for demanding applications.