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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Materials Map under construction

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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Mccullen, N. J.

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University of Bath

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2008The robustness of the emergent scaling property of random RC network models of complex materials24citations

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Almond, Darryl P.
1 / 6 shared
Budd, Christopher
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Hunt, Giles W.
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2008

Co-Authors (by relevance)

  • Almond, Darryl P.
  • Budd, Christopher
  • Hunt, Giles W.
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article

The robustness of the emergent scaling property of random RC network models of complex materials

  • Almond, Darryl P.
  • Budd, Christopher
  • Hunt, Giles W.
  • Mccullen, N. J.
Abstract

The so-called 'universal dielectric response' of composite materials can be reproduced as a power-law emergent response (PLER) of electrical network models. Results are presented for investigations demonstrating the robustness of the PLER of random electrical networks in order to evaluate the usefulness of such models in simulating real composite materials with microstructural disorder. The effect of imposed microstructures has been investigated, looking at both the correlation length and the network size. It is shown that the exact microstructural details may be reasonably omitted, so long as we take care that the general features of the structures, such as their relative smallest and largest scales, are represented. Anisotropy in the random microstructures is shown to alter the bulk response of the system, with the network responses found to tend towards that expected for purely parallel and series components. The power-law response is shown to be obtainable by taking the geometric mean of the two cases, showing that the bulk response of such systems is an averaged property of these two extreme cases. It is concluded that, given the longer computing times needed to simulate these more realistic representations, it is reasonable to use the simpler models.

Topics
  • impedance spectroscopy
  • microstructure
  • composite
  • random