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Molecular Weight of Step-Growth Polymers

Molecular Weight of Step-Growth Polymers

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...

Step-Growth Polymerization: Overview

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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...

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Updated: Jul 7, 2025

Fabrication of Three-Dimensional Graphene-Based Polyhedrons via Origami-Like Self-Folding

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Published on: September 23, 2018

Domain Growth in Polycrystalline Graphene.

Zihua Liu¹, Debabrata Panja¹, Gerard T Barkema¹

¹Department of Information and Computing Sciences, Utrecht University, 3584 CC Utrecht, The Netherlands.

Nanomaterials (Basel, Switzerland)

|December 22, 2023

Summary

This summary is machine-generated.

This study simulates polycrystalline graphene domain coarsening using Monte Carlo methods. Findings reveal defect diffusion and domain size changes follow specific distributions, offering insights for graphene fabrication and applications.

Keywords:

Monte Carlo dynamics disordered materials domain growth grain boundary polycrystalline graphene

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Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Fabrication of Gate-tunable Graphene Devices for Scanning Tunneling Microscopy Studies with Coulomb Impurities

Published on: July 24, 2015

Area of Science:

Materials Science
Condensed Matter Physics
Computational Chemistry

Background:

Graphene's unique properties make it ideal for numerous applications.
Defects in polycrystalline graphene significantly impact its performance.
Understanding crystalline domain coarsening is crucial for optimizing graphene.

Purpose of the Study:

To simulate the crystalline domain coarsening process in polycrystalline graphene.
To analyze defect behavior and domain growth dynamics.
To investigate the influence of buckling and substrate effects on graphene crystallization.

Main Methods:

Utilized a Monte Carlo approach with the optimized Wooten, Winer and Weaire (WWW) algorithm.
Performed statistical analyses on bond/angle distributions and defect evolution.
Investigated defect diffusion and spatial correlation of lattice orientation.

Main Results:

Simulated sample configurations showed excellent agreement with experimental data.
Defect distribution temporal evolution and lattice orientation correlation followed a stretched exponential distribution.
Domain size changes exhibited a power-law distribution, with defect diffusion analyzed.

Conclusions:

The study provides insights into domain growth processes in polycrystalline graphene.
Findings offer guidance for theoretical and experimental advancements in graphene research.
The impact of buckling on crystallization rates under substrate effects was examined.