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)

  • 2020Multiscale Tomographic Analysis for Micron-Sized Particulate Samples25citations

Places of action

Chart of shared publication
Ditscherlein, Ralf
1 / 4 shared
Leißner, Thomas
1 / 5 shared
Furat, Orkun
1 / 10 shared
Peuker, Urs A.
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Sygusch, Johanna
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Silva, Juliana Martins De Souza E.
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Schmidt, Volker
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Rudolph, Martin
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Chart of publication period
2020

Co-Authors (by relevance)

  • Ditscherlein, Ralf
  • Leißner, Thomas
  • Furat, Orkun
  • Peuker, Urs A.
  • Sygusch, Johanna
  • Silva, Juliana Martins De Souza E.
  • Schmidt, Volker
  • Rudolph, Martin
OrganizationsLocationPeople

article

Multiscale Tomographic Analysis for Micron-Sized Particulate Samples

  • Ditscherlein, Ralf
  • Leißner, Thomas
  • Furat, Orkun
  • Peuker, Urs A.
  • Sygusch, Johanna
  • Silva, Juliana Martins De Souza E.
  • Langlard, Mathieu De
  • Schmidt, Volker
  • Rudolph, Martin
Abstract

<jats:p>The three-dimensional characterization of distributed particle properties in the micro- and nanometer range is essential to describe and understand highly specific separation processes in terms of selectivity and yield. Both performance measures play a decisive role in the development and improvement of modern functional materials. In this study, we mixed spherical glass particles (0.4–5.8<jats:italic>μ</jats:italic>m diameter) with glass fibers (diameter 10<jats:italic>μ</jats:italic>m, length 18–660<jats:italic>μ</jats:italic>m) to investigate a borderline case of maximum difference in the aspect ratio and a significant difference in the characteristic length to characterize the system over several size scales. We immobilized the particles within a wax matrix and created sample volumes suitable for computed tomographic (CT) measurements at two different magnification scales (X-ray micro- and nano-CT). Fiber diameter and length could be described well on the basis of the low-resolution micro-CT measurements on the entire sample volume. In contrast, the spherical particle system could only be described with sufficient accuracy by combining micro-CT with high-resolution nano-CT measurements on subvolumes of reduced sample size. We modeled the joint (bivariate) distribution of fiber length and diameter with a parametric copula as a basic example, which is equally suitable for more complex distributions of irregularly shaped particles. This enables us to capture the multidimensional correlation structure of particle systems with statistically representative quantities.</jats:p>

Topics
  • impedance spectroscopy
  • glass
  • glass