4.7 Article

Mesoscale Modeling of Agglomeration of Molecular Bottlebrushes: Focus on Conformations and Clustering Criteria

Journal

POLYMERS
Volume 14, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/polym14122339

Keywords

molecular bottlebrush; dissipative particle dynamics; self-assembly; aggregation number

Funding

  1. National Science Foundation EPSCoR Program under NSF [OIA-1655740]
  2. National Science Foundation [1950557]
  3. Division Of Materials Research
  4. Direct For Mathematical & Physical Scien [1950557] Funding Source: National Science Foundation

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Using dissipative particle dynamics, the dynamics of molecular bottlebrushes aggregation in solvents of various qualities were characterized. The relationship between aggregation status and structural characteristics of bottlebrushes in different solvents was investigated. The conformational changes of bottlebrushes within the agglomerates were analyzed to understand the relationship between bottlebrush architecture and material properties.
Using dissipative particle dynamics, we characterize dynamics of aggregation of molecular bottlebrushes in solvents of various qualities by tracking the number of clusters, the size of the largest cluster, and an average aggregation number. We focus on a low volume fraction of bottlebrushes in a range of solvents and probe three different cutoff criteria to identify bottlebrushes belonging to the same cluster. We demonstrate that the cutoff criteria which depend on both the coordination number and the length of the side chain allows one to correlate the agglomeration status with the structural characteristics of bottlebrushes in solvents of various qualities. We characterize conformational changes of the bottlebrush within the agglomerates with respect to those of an isolated bottlebrush in the same solvents. The characterization of bottlebrush conformations within the agglomerates is an important step in understanding the relationship between the bottlebrush architecture and material properties. An analysis of three distinct cutoff criteria to identify bottlebrushes belonging to the same cluster introduces a framework to identify both short-lived transient and long-lived agglomerates; the same approach could be further extended to characterize agglomerates of various macromolecules with complex architectures beyond the specific bottlebrush architecture considered herein.

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