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

Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

3.3K
Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
3.3K
Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

4.1K
Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
4.1K
Polymer Classification: Architecture01:14

Polymer Classification: Architecture

4.0K
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
4.0K
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.9K
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...
2.9K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

4.1K
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...
4.1K
Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

4.5K
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...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Highly Dynamic Yet Stable Polyketimine Networks with Closed-Loop Recyclability and Topological Programmability.

Journal of the American Chemical Society·2026
Same author

Multimodal neuroimaging protocol to explore the neural mechanisms of Tiao Shen Li Yan acupuncture in post-stroke dysphagia: a randomized sham-controlled clinical trial.

Frontiers in neurology·2026
Same author

Multimodal MRI assessment of cerebral small vessel disease-related brain injury in the context of unilateral severe carotid artery stenosis.

Neuroradiology·2026
Same author

Disruptions of the diffusion tensor image analysis along the perivascular space index and dynamic functional connectivity across the Alzheimer's disease spectrum: Implications for cognitive impairment.

Journal of Alzheimer's disease : JAD·2026
Same author

A General Strategy for Developing Si-Rhodamine-Based Fluorogenic Dyes for Advanced Bioimaging and Biosensing.

Journal of the American Chemical Society·2026
Same author

Brain Cortex Thinning in Cardiac Allograft Vasculopathy　- Associations With Myocardial Fibrosis and Cognitive Impairment.

Circulation journal : official journal of the Japanese Circulation Society·2026

Related Experiment Video

Updated: Feb 25, 2026

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

13.5K

A Metallosupramolecular Shape-Memory Polymer with Gradient Thermal Plasticity.

Lipeng Yang1, Guogao Zhang1, Ning Zheng1

  • 1State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, P. R. China.

Angewandte Chemie (International Ed. in English)
|August 2, 2017
PubMed
Summary

Researchers developed metallosupramolecular shape-memory polymers with tunable solid-state plasticity. Controlling metal ion diffusion enabled spatial gradient plasticity, unlocking new shape-morphing capabilities for advanced materials.

Keywords:
gradient thermal plasticitymetallosupramolecular networkspolymersshape-memorysolid-state plasticity

More Related Videos

Shape Memory Polymers for Active Cell Culture
10:53

Shape Memory Polymers for Active Cell Culture

Published on: July 4, 2011

14.0K
Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction
11:17

Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction

Published on: January 19, 2016

23.3K

Related Experiment Videos

Last Updated: Feb 25, 2026

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
09:37

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold

Published on: October 23, 2015

13.5K
Shape Memory Polymers for Active Cell Culture
10:53

Shape Memory Polymers for Active Cell Culture

Published on: July 4, 2011

14.0K
Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction
11:17

Synthesis of Programmable Main-chain Liquid-crystalline Elastomers Using a Two-stage Thiol-acrylate Reaction

Published on: January 19, 2016

23.3K

Area of Science:

  • Materials Science
  • Polymer Chemistry
  • Supramolecular Chemistry

Background:

  • Dynamic covalent bonds enable solid-state plasticity and permanent shape reconfiguration in polymer networks.
  • Achieving spatio-selective control over thermally induced plasticity is challenging due to synthesis limitations.
  • Metal-ligand interactions offer a promising route, combining covalent bond strength with supramolecular dynamic reversibility.

Purpose of the Study:

  • To design and prepare metallosupramolecular shape-memory polymer networks exhibiting solid-state plasticity.
  • To investigate the tunability of plasticity behavior by altering metal ions.
  • To achieve spatio-controlled plasticity through metal ion diffusion gradients.

Main Methods:

  • Synthesis of metallosupramolecular polymer networks utilizing metal-ligand coordination bonds.
  • Characterization of solid-state plasticity and shape-memory effects.
  • Controlled diffusion of different metal ions during polymer film preparation to create spatial gradients.

Main Results:

  • Demonstrated solid-state plasticity in the metallosupramolecular shape-memory polymer networks.
  • Showcased facile tuning of plasticity behavior across a wide temperature range by changing the metal ion.
  • Successfully achieved a spatial gradient in plasticity by controlling metal ion diffusion, leading to unique shape-morphing versatility.

Conclusions:

  • Metallo-supramolecular networks provide a platform for tunable solid-state plasticity in shape-memory polymers.
  • Spatially controlled plasticity opens new avenues for advanced shape-morphing applications.
  • These materials hold significant potential for the development of sophisticated shape-memory devices.