Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2017The Role of the Topological Constraints in the Chain Dynamics in All-Polymer Nanocomposites35citations

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Chart of shared publication
Moreno, Angel J.
1 / 10 shared
Colmenero, Juan
1 / 13 shared
Lo Verso, Federica
1 / 11 shared
Pomposo, José A.
1 / 14 shared
Arbe, Arantxa
1 / 26 shared
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2017

Co-Authors (by relevance)

  • Moreno, Angel J.
  • Colmenero, Juan
  • Lo Verso, Federica
  • Pomposo, José A.
  • Arbe, Arantxa
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article

The Role of the Topological Constraints in the Chain Dynamics in All-Polymer Nanocomposites

  • Moreno, Angel J.
  • Bačová, Petra
  • Colmenero, Juan
  • Lo Verso, Federica
  • Pomposo, José A.
  • Arbe, Arantxa
Abstract

<p>We investigate all-polymer nanocomposites, formed by linear chains and single-chain polymer nanoparticles (SCNPs), by means of large-scale simulations. To distinguish the role of the soft penetrable character of the SCNPs in the topological constraints from other specific contributions present in experiments, the simulations for different compositions of the mixture are performed at constant density and with identical segmental mobility and monomer excluded volume for the SCNPs and linear chains. Every composition leads to a well-dispersed nanocomposite with fully penetrated nanofillers. Hence, unlike in the case of hard nanofillers, the SCNPs do not exert confinement effects on the linear chains and only contribute to the topological constraints. We discuss the intramolecular dynamics of the linear chains in terms of the tube model. We determine the entanglement length of the linear chains by analyzing their isoconfigurational mean paths (IMP) and the primitive paths (PP) as a function of the concentration and topology of the SCNPs. In the analysis we use different estimators proposed in the literature. The IMP and PP analysis in the nanocomposites with sparse SCNPs yields values of the entanglement length smaller and larger, respectively, than in the reference pure linear melt, though small variations are observed. A more consistent trend is found in the nanocomposites with globular SCNPs, where both the IMP and PP analysis unambiguously reveal that the linear chains are more entangled than in the pure linear melt. Such differences between the effects of SCNPs with different topologies are presumably related to the much higher fraction of threadable loops in the globular SCNPs, with respect to their sparse counterparts, which effectively lead to more topological constraints.</p>

Topics
  • nanoparticle
  • nanocomposite
  • density
  • impedance spectroscopy
  • polymer
  • mobility
  • experiment
  • simulation
  • melt