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

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...
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta catalyst, high molecular...

You might also read

Related Articles

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

Sort by
Same author

Effects of solvation shell relaxation on chain association mechanisms in poly(3-hexylthiophene) solutions.

Physical chemistry chemical physics : PCCP·2021
Same author

The correspondence between the conformational and chromophoric properties of amorphous conjugated polymers in mesoscale condensed systems.

Physical chemistry chemical physics : PCCP·2017
Same author

Solubility of C60 and PCBM in Organic Solvents.

The journal of physical chemistry. B·2015
Same author

Colloidal aggregate and gel incubated by amorphous conjugated polymer in hybrid-solvent medium.

The journal of physical chemistry. B·2015
Same author

Dynamic solvation shell and solubility of C60 in organic solvents.

The journal of physical chemistry. B·2014
Same author

An ellipsoid-chain model for conjugated polymer solutions.

The Journal of chemical physics·2012

Related Experiment Video

Updated: Jun 18, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Multiscale simulation for conducting conjugated polymers from solution to the quenching state.

Cheng K Lee1, Chi C Hua, Show A Chen

  • 1Department of Chemical Engineering, National Chung Cheng University, Chia-Yi 621, Taiwan, ROC.

The Journal of Physical Chemistry. B
|December 4, 2009
PubMed
Summary

A new multiscale simulation method tracks single-chain conformations of conducting polymers like polyaniline emeraldine base (PANI-EB). This reveals how solution behavior influences quenched morphologies, demonstrating a "memory effect" due to specific interactions.

More Related Videos

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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 18, 2026

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures
10:56

Confocal Imaging of Confined Quiescent and Flowing Colloid-polymer Mixtures

Published on: May 20, 2014

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

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:

  • Material Science
  • Polymer Chemistry
  • Computational Chemistry

Background:

  • Conducting conjugated polymers are crucial for optoelectronics.
  • Understanding single-chain conformations is vital for material innovation.
  • High molecular weight polymers with anisotropic interactions pose simulation challenges.

Purpose of the Study:

  • To develop a multiscale simulation scheme for tracking single-chain conformations of conducting polymers.
  • To investigate the influence of local interactions on polymer morphology from solution to the quenched state.
  • To provide microscopic evidence for the

Main Methods:

  • Multiscale simulation scheme involving systematic mapping and back-mapping.
  • Atomistic Molecular Dynamics (AMD) for detailed interaction analysis.
  • Coarse-grained Molecular Dynamics and Langevin Dynamics (CGLD) for long-chain behavior.

Main Results:

  • Segmental van der Waals interactions dominate solution properties (persistence length, solvent quality, diffusivity).
  • Anisotropic hydrogen-bond and pi-pi interactions trap quenched chain morphology to mimic solution state.
  • First microscopic evidence of the

Conclusions:

  • The multiscale simulation strategy effectively tracks single-chain conformations of conducting polymers.
  • Anisotropic interactions play a key role in determining quenched polymer morphology.
  • The findings are applicable to various semiflexible conjugated polymers with localized interactions.