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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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High-throughput morphology mapping of self-assembling ternary polymer blends.

Kristof Toth1, Chinedum O Osuji2, Kevin G Yager3

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This study introduces a novel gradient electrospray deposition method for rapidly exploring ternary block copolymer blends. This approach efficiently maps morphology diagrams, revealing structure-composition relationships for self-assembling nanomaterials.

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Area of Science:

  • Materials Science
  • Polymer Science
  • Nanotechnology

Background:

  • Multicomponent blending offers control over material structure and properties in self-assembling nanomaterials.
  • Characterizing numerous discrete blend compositions is time-consuming, hindering understanding of structure-morphology dependencies.

Purpose of the Study:

  • To develop a high-throughput method for systematically exploring ternary blend composition spaces.
  • To create a detailed morphology diagram for a specific block copolymer/homopolymer system.

Main Methods:

  • Gradient electrospray deposition to create sequential blend segments on a single substrate.
  • High-throughput grazing-incidence small-angle X-ray scattering for characterization.
  • Application to polystyrene-block-poly(methyl methacrylate) blended with polystyrene and poly(methyl methacrylate) homopolymers.

Main Results:

  • Identification of distinct composition regions for cylinder, lamellae, sphere, and disordered morphologies.
  • Demonstration of systematic dependencies between morphology, grain size, and domain period.
  • Highlighting the benefits of using low molecular weight homopolymers in block copolymer self-assembly.

Conclusions:

  • The developed combinatorial approach significantly reduces the time for exploring complex blend parameter spaces.
  • Blending low molecular weight homopolymers is advantageous for controlling block copolymer self-assembly.
  • This method complements advances in autonomous characterization for nanomaterial research.