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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

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PeopleLocationsStatistics
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Aelterman, Jan

  • Google
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Ghent University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Pixel-wise beam-hardening correction for dark-field signal in X-ray dual-phase grating interferometry5citations
  • 2022Sinchuk et al. Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Compositescitations
  • 2022Deep learning segmentation of wood fiber bundles in fiberboards24citations
  • 2021Geometrical and deep learning approaches for instance segmentation of CFRP fiber bundles in textile composites21citations
  • 2020Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites51citations

Places of action

Chart of shared publication
Organista Castelblanco, Caori
1 / 1 shared
Tang, Ruizhi
1 / 2 shared
Stampanoni, Marco
1 / 23 shared
Van Hoorebeke, Luc
1 / 8 shared
Boone, Matthieu
1 / 9 shared
Romano, Lucia
1 / 9 shared
Van Paepegem, Wim
3 / 489 shared
Kibleur, Pierre
4 / 5 shared
Boone, Matthieu N.
4 / 9 shared
Sinchuk, Yuriy
3 / 8 shared
Van Acker, Joris
1 / 3 shared
Van Den Bulcke, Jan
1 / 3 shared
Chart of publication period
2023
2022
2021
2020

Co-Authors (by relevance)

  • Organista Castelblanco, Caori
  • Tang, Ruizhi
  • Stampanoni, Marco
  • Van Hoorebeke, Luc
  • Boone, Matthieu
  • Romano, Lucia
  • Van Paepegem, Wim
  • Kibleur, Pierre
  • Boone, Matthieu N.
  • Sinchuk, Yuriy
  • Van Acker, Joris
  • Van Den Bulcke, Jan
OrganizationsLocationPeople

article

Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites

  • Van Paepegem, Wim
  • Kibleur, Pierre
  • Aelterman, Jan
  • Boone, Matthieu N.
  • Sinchuk, Yuriy
Topics
  • Carbon
  • tomography
  • composite
  • woven