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Relaxation dynamics of a multihierarchical polymer network.

Aurel JurjiuTeodor Lucian BiterRomulus Valeriu Flaviu Turcu
Published in: The Journal of chemical physics (2017)
In this work, we study the relaxation dynamics of a multihierarchical polymer network built by replicating the Vicsek fractal in dendrimer shape. The relaxation dynamics is investigated in the framework of the generalized Gaussian structure model by employing both Rouse and Zimm approaches. In the Rouse-type approach, we show the iterative procedure whereby the whole eigenvalue spectrum of the connectivity matrix of the multihierarchical structure can be obtained. Remarkably, the general picture that emerges from both approaches, even though we have a mixed growth algorithm, is that the obtained multihierarchical structure preserves the individual relaxation behaviors of its components. The theoretical findings with respect to the splitting of the intermediate domain of the relaxation quantities are well supported by experimental results.
Keyphrases
  • single molecule
  • machine learning
  • atomic force microscopy
  • computed tomography
  • magnetic resonance
  • high resolution
  • high speed
  • dual energy