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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2000Granule-by-granule reconstruction of a sandpile from x-ray microtomography data87citations

Places of action

Chart of shared publication
Behne, E. A.
1 / 1 shared
Kim, K. H.
1 / 5 shared
Chapman, B. D.
1 / 1 shared
Brewe, D. L.
1 / 1 shared
Martinez, G.
1 / 3 shared
Heald, S. M.
1 / 2 shared
Seidler, G. T.
1 / 1 shared
Seeley, L. H.
1 / 1 shared
Chart of publication period
2000

Co-Authors (by relevance)

  • Behne, E. A.
  • Kim, K. H.
  • Chapman, B. D.
  • Brewe, D. L.
  • Martinez, G.
  • Heald, S. M.
  • Seidler, G. T.
  • Seeley, L. H.
OrganizationsLocationPeople

article

Granule-by-granule reconstruction of a sandpile from x-ray microtomography data

  • Behne, E. A.
  • Zaranek, S.
  • Kim, K. H.
  • Chapman, B. D.
  • Brewe, D. L.
  • Martinez, G.
  • Heald, S. M.
  • Seidler, G. T.
  • Seeley, L. H.
Abstract

Mesoscale disordered materials are ubiquitous in industry and in the environment. Any fundamental understanding of the transport and mechanical properties of such materials must follow from a thorough understanding of their structure. However, in the overwhelming majority of cases, experimental characterization of such materials has been limited to first- and second-order structural correlation functions, i.e., the mean filling fraction and the structural autocorrelation function. We report here the successful combination of synchrotron x-ray microtomography and image processing to determine the full three-dimensional real-space structure of a model disordered material, a granular bed of relatively monodisperse glass spheres. Specifically, we determine the center location and the local connectivity of each granule. This complete knowledge of structure can be used to calculate otherwise inaccessible high-order correlation functions. We analyze nematic order parameters for contact bonds to characterize the geometric anisotropy or fabric induced by the sample boundary conditions. Away from the boundaries we find short-range bond orientational order exhibiting characteristics of the underlying polytetrahedral structure.

Topics
  • glass
  • glass