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Related Concept Videos

Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

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The cationic polymerization mechanism consists of three steps: initiation, propagation, and termination. In the initiation step of the polymerization process, the π bond of a monomer gets protonated by the Lewis acid catalyst, which is formed from boron trifluoride and water. The protonation of the π bond generates a carbocation stabilized by the electron‐donating group. In the propagation step, the π bond of the second monomer acts as a nucleophile and attacks the...
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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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Anionic Chain-Growth Polymerization: Mechanism01:04

Anionic Chain-Growth Polymerization: Mechanism

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The mechanism for anionic chain-growth polymerization involves initiation, propagation, and termination steps. In the initiation step, a nucleophilic anion, such as butyl lithium, initiates the polymerization process by attacking the π bond of the vinylic monomer. As a result, a carbanion, stabilized by the electron‐withdrawing group, is generated. The resulting carbanion acts as a Michael donor in the propagation step and attacks the second vinylic monomer, which acts as a Michael...
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Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

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Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
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Radical Chain-Growth Polymerization: Chain Branching01:17

Radical Chain-Growth Polymerization: Chain Branching

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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...
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Using Polystyrene-block-polyacrylic acid-coated Metal Nanoparticles as Monomers for Their Homo- and Co-polymerization
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Accelerated Prediction of Phase Behavior for Block Copolymer Libraries Using a Molecularly Informed Field Theory.

Charles Li1, Elizabeth A Murphy2,3, Stephen J Skala2,4

  • 1Department of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, California 93106, United States.

Journal of the American Chemical Society
|October 18, 2024
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Summary
This summary is machine-generated.

This study introduces a multiscale modeling approach to predict polymer solution phase diagrams, reducing Edisonian formulation design. The method uses atomistic simulations to parameterize coarse-grained models for accurate structure and phase behavior prediction.

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Area of Science:

  • Polymer science and engineering
  • Materials science
  • Computational chemistry

Background:

  • Polymer solutions are crucial in diverse applications like consumer care, therapeutics, and coatings.
  • Predicting self-assembly and phase behavior in these complex systems is challenging due to long time/length scales and chemical specificity.
  • Current formulation design relies heavily on empirical, trial-and-error (Edisonian) methods.

Purpose of the Study:

  • To develop a systematic, predictive computational approach for polymer solution formulation.
  • To accurately predict the complete temperature-concentration phase diagram of diblock polymers in solution.
  • To reduce reliance on Edisonian methods in formulation design.

Main Methods:

  • A multiscale modeling strategy combining atomistic molecular dynamics simulations and coarse-grained field-theoretic models.
  • Atomistic simulations are used to parameterize the coarse-grained models.
  • Coarse-grained simulations efficiently explore long time and length scales to determine structures and phase behavior.

Main Results:

  • Accurate prediction of the complete temperature-concentration phase diagram for model diblock polymers in solution, validated by small-angle X-ray scattering.
  • The multiscale approach successfully overcomes the limitations of traditional methods in simulating self-assembly.
  • Demonstrated rigorous determination of solution structures and phase behavior.

Conclusions:

  • The presented multiscale modeling approach offers a systematic and predictive alternative to Edisonian formulation design.
  • This methodology has the potential to significantly expedite *in silico* screening of novel formulations.
  • It can guide component selection and composition optimization across a wide range of polymer-based applications.