Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Determination of Molar Masses of Polymers II

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...

Polymers: Molecular Weight Distribution

Polymers: Molecular Weight Distribution

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.

You might also read

Related Articles

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

Sort by

Same author

Stress response of jammed solids: Prestress and screening.

Physical review. E·2026

Same author

Pinch-point singularities in stress-stress correlations reveal rigidity in colloidal gels.

Soft matter·2025

Same author

Rigidity transitions in anisotropic networks: a crossover scaling analysis.

Soft matter·2025

Same author

Universal Scaling Framework for Controlling Phase Behavior in Thickening and Jamming Suspensions.

Physical review letters·2025

Same author

Modeling the Transition between Localized and Extended Deposition in Flow Networks through Packings of Glass Beads.

Physical review letters·2023

Same author

Stress-stress correlations reveal force chains in gels.

The Journal of chemical physics·2023

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Single polymer confinement in a tube: correlation between structure and dynamics.

Joshua Kalb¹, Bulbul Chakraborty

¹Martin Fisher School of Physics, Brandeis University, Mailstop 057, Waltham, Massachusetts 02454-9110, USA. jk2996@columbia.edu

The Journal of Chemical Physics

|January 22, 2009

Summary

We developed a model for confined polymer dynamics, predicting mode behavior in tubes. Simulations confirmed the model

More Related Videos

DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

Published on: October 25, 2017

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Related Experiment Videos

Last Updated: Jun 26, 2026

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

DNA Nanotubes as a Versatile Tool to Study Semiflexible Polymers

Published on: October 25, 2017

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

Area of Science:

Polymer Physics
Statistical Mechanics

Background:

Understanding polymer dynamics under confinement is crucial for materials science.
Excluded-volume interactions significantly influence polymer behavior.

Purpose of the Study:

To develop an effective model for the dynamics of an excluded-volume polymer chain confined to a tube.
To predict the behavior of Rouse modes for a single confined polymer.

Main Methods:

Extension of the Rouse mode formalism.
Monte Carlo simulations utilizing the bond-fluctuation algorithm on a lattice representation.
Inclusion of excluded-volume effects in the simulation model.

Main Results:

The study provides specific predictions for the behavior of Rouse modes in confined polymer systems.
The model's predictions were validated against simulation data.

Conclusions:

The developed model effectively captures the dynamics of excluded-volume chains under confinement.
The findings offer insights into polymer behavior within topological constraints.