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

Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

3.5K
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...
3.5K
Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

2.7K
Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
2.7K
Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

1.8K
The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
1.8K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

2.3K
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...
2.3K
Radical Chain-Growth Polymerization: Mechanism01:09

Radical Chain-Growth Polymerization: Mechanism

2.9K
The radical chain-growth polymerization mechanism consists of three steps: initiation, propagation, and termination of polymerization. The polymerization initiates when a free radical generated from the radical initiator adds to the unsaturated bond in the monomer. The unpaired electron of the free radical and one π electron in the unsaturated bond creates a σ bond between the free radical and the monomer. As a result, the other π electron in the unsaturated bond converts this...
2.9K
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

4.0K
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.
4.0K

You might also read

Related Articles

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

Sort by
Same author

Directing the Two-Dimensional Assembly of Polyoxometalates via Surface Chemistry.

Journal of the American Chemical Society·2026
Same author

SRPRB can regulate proliferation and migration in Triple-Negative breast cancer cells.

Gene·2026
Same author

Locking the spin states of anionic Fe(L)<sub>2</sub> units in coordination polymers through alkali metal ion incorporation.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Golgi Apparatus-Targeting Immunostimulant for Synergistic Activation of Antitumor Immunity via Pyroptosis Induction and PD-L1 Degradation.

Advanced healthcare materials·2026
Same author

Evaluation Starch-Based Hemostatic Agents "BioSight" as Adhesion Prevention Barrier Tested in an Adhesion Model in Rats.

Polymers·2026
Same author

EXOSC3 knockdown induces G1/S phase arrest to suppress hepatocellular carcinoma cell proliferation.

Scientific reports·2025
Same journal

Quantum simulation of alignment dependent differential cross sections in co-propagating molecular beams at cold collision energies.

The Journal of chemical physics·2026
Same journal

Non-additive ion effects on the coil-globule equilibrium of a generic polymer in aqueous salt solutions.

The Journal of chemical physics·2026
Same journal

Insights into the unexpected small reduction of the temperature of maximum density of water by lithium chloride addition.

The Journal of chemical physics·2026
Same journal

Optical frequency comb double-resonance spectroscopy of the 9030-9175 cm-1 states of ethylene.

The Journal of chemical physics·2026
Same journal

Time reversal breaking of colloidal particles in cells.

The Journal of chemical physics·2026
Same journal

Photodynamics of amino acids under UV excitation: Extraterrestrial amino acids.

The Journal of chemical physics·2026
See all related articles

Related Experiment Video

Updated: Apr 28, 2026

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

11.5K

Exponential time differencing methods with Chebyshev collocation for polymers confined by interacting surfaces.

Yi-Xin Liu1, Hong-Dong Zhang1

  • 1State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai, China.

The Journal of Chemical Physics
|June 16, 2014
PubMed
Summary
This summary is machine-generated.

We developed a fast and accurate numerical method using exponential time differencing (ETDRK4) for polymer physics simulations. This method improves computational efficiency for confined polymer systems, enabling precise calculations.

More Related Videos

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

7.6K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.2K

Related Experiment Videos

Last Updated: Apr 28, 2026

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

11.5K
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

7.6K
Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

2.2K

Area of Science:

  • Polymer Physics
  • Computational Science
  • Materials Science

Background:

  • Self-consistent field theory (SCFT) is crucial for understanding polymer behavior.
  • Simulating confined polymer systems presents computational challenges.
  • Existing numerical methods can be inefficient for high-accuracy calculations.

Purpose of the Study:

  • To introduce a novel, efficient, and accurate numerical method for SCFT calculations of confined polymer systems.
  • To address limitations in existing computational approaches for polymer simulations.
  • To enhance the study of polymer behavior under confinement.

Main Methods:

  • Developed an exponential time differencing method (ETDRK4) with Chebyshev collocation.
  • Implemented non-periodic boundary conditions to model confining walls.
  • Solved modified diffusion equations with fourth-order temporal and spectral spatial accuracy.

Main Results:

  • The ETDRK4 method demonstrates superior efficiency compared to operator splitting methods for high-accuracy SCFT calculations.
  • The method accurately simulates diblock copolymers confined between parallel flat surfaces.
  • Non-periodic boundary conditions effectively model wall interactions without surface fields.

Conclusions:

  • The ETDRK4 method offers a significant advancement in computational efficiency and accuracy for confined polymer system simulations.
  • This approach provides a robust tool for investigating polymer physics under confinement.
  • The method is applicable to complex polymer architectures and confinement geometries.