Odd–Even Effect of Junction Functionality on the Topology and Elasticity of Polymer Networks
| Autor: | Rui Wang, Bradley D. Olsen, Jeremiah A. Johnson |
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| Rok vydání: | 2017 |
| Předmět: |
Materials science
Polymers and Plastics Organic Chemistry Monte Carlo method 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Topology 01 natural sciences 0104 chemical sciences Pervaded volume Inorganic Chemistry Loop (topology) Materials Chemistry Alternation (formal language theory) Elasticity (economics) 0210 nano-technology Material properties Topology (chemistry) Dimensionless quantity |
| Zdroj: | Macromolecules. 50:2556-2564 |
| ISSN: | 1520-5835 0024-9297 |
| DOI: | 10.1021/acs.macromol.6b01912 |
| Popis: | The junction functionality of polymer networks is a key design variable to tune the material properties through changing the network connectivity. Here, we perform a Monte Carlo simulation to study the topology and elasticity of end-linked polymer networks constructed by junctions with different functionalities. The effect of junction functionality on the topological structure of the network displays both universal features and odd–even effects. For all junction functionalities, the primary loop fraction shows a linear dependence on the dimensionless product of concentration with single chain pervaded volume. The slopes of the lines exhibit strong odd–even alternation: primary loops are formed more frequently for junctions with an odd number of functional groups. The secondary loop fraction has a maximum when plotted against the normalized primary loop fraction, where the value of the maximum also shows odd–even alternation. The topological information obtained through Monte Carlo simulation is then incor... |
| Databáze: | OpenAIRE |
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