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Related Concept Videos

Strain-Energy Density01:20

Strain-Energy Density

585
Understanding the strain energy density in materials under axial load is crucial for evaluating their mechanical behavior and durability. When a rod is subjected to such a load, it elongates and stores energy, known as strain energy, as potential energy within the material. This energy is measured in terms of energy per unit volume.
In the elastic region of a material, the relationship between the stress and the strain is linear and follows Hooke's Law. The strain energy density in this...
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Polymer Classification: Architecture01:14

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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...
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Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

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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...
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Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

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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...
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Related Experiment Video

Updated: Oct 14, 2025

Fabrication of a Bioactive, PCL-based "Self-fitting" Shape Memory Polymer Scaffold
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High Energy Density Shape Memory Polymers Using Strain-Induced Supramolecular Nanostructures.

Christopher B Cooper1, Shayla Nikzad1, Hongping Yan1,2

  • 1Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States.

ACS Central Science
|November 3, 2021
PubMed
Summary
This summary is machine-generated.

Shape memory polymers now offer high energy density thanks to strain-induced nanostructures. This breakthrough in polymer science achieves superior energy storage and shape recovery for advanced applications.

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Area of Science:

  • Polymer Science
  • Materials Science
  • Nanotechnology

Background:

  • Shape memory polymers (SMPs) exhibit large extensibility and shape recovery.
  • Current SMPs are limited by low energy densities (∼1 MJ/m³), hindering practical applications.

Purpose of the Study:

  • To develop a high energy density, one-way shape memory polymer.
  • To explore the mechanism of strain-induced supramolecular nanostructures for energy storage.

Main Methods:

  • Inducing supramolecular nanostructures through polymer chain alignment under strain.
  • Utilizing directional dynamic bonds to stabilize elongated polymer chains.
  • Investigating the energy storage and recovery mechanisms upon heating.

Main Results:

  • Achieved high entropic energy storage of up to 19.6 MJ/m³ (17.9 J/g).
  • Demonstrated near 100% shape recovery and fixity.
  • Reported a six-fold increase in energy density compared to previous state-of-the-art SMPs.

Conclusions:

  • Strain-induced supramolecular nanostructures provide a novel pathway to high energy density SMPs.
  • The developed polymer overcomes previous limitations in energy storage capacity.
  • This advancement opens new possibilities for SMPs in demanding applications.