Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

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.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Dewanckele, Jan

  • Google
  • 3
  • 16
  • 53

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2015Autogenous healing of cementitious materials promoted by superabsorbent polymers studied by means of X-ray computed microtomographycitations
  • 2012X-ray microtomography (mu-CT) to evaluate microstructure of mortars containing low density additions53citations
  • 2009Multi-resolution X-ray CT research applied on geomaterialscitations

Places of action

Chart of shared publication
Snoeck, Didier
1 / 46 shared
Cnudde, Veerle
3 / 39 shared
Dubruel, Peter
1 / 31 shared
Van Hoorebeke, Luc
1 / 8 shared
Dierick, Manuel
2 / 5 shared
De Belie, Nele
1 / 101 shared
Kock, Tim De
1 / 6 shared
Lanzon, Marcos
1 / 1 shared
Vlassenbroeck, Jelle
1 / 2 shared
Masschaele, Bert
1 / 6 shared
Pieters, Koen
1 / 1 shared
Loo, Denis Van
1 / 2 shared
Witte, Yoni De
1 / 1 shared
Jacobs, Patric
1 / 4 shared
Hoorebeke, Luc Van
1 / 4 shared
Boone, Matthieu
1 / 9 shared
Chart of publication period
2015
2012
2009

Co-Authors (by relevance)

  • Snoeck, Didier
  • Cnudde, Veerle
  • Dubruel, Peter
  • Van Hoorebeke, Luc
  • Dierick, Manuel
  • De Belie, Nele
  • Kock, Tim De
  • Lanzon, Marcos
  • Vlassenbroeck, Jelle
  • Masschaele, Bert
  • Pieters, Koen
  • Loo, Denis Van
  • Witte, Yoni De
  • Jacobs, Patric
  • Hoorebeke, Luc Van
  • Boone, Matthieu
OrganizationsLocationPeople

document

Multi-resolution X-ray CT research applied on geomaterials

  • Vlassenbroeck, Jelle
  • Masschaele, Bert
  • Cnudde, Veerle
  • Pieters, Koen
  • Loo, Denis Van
  • Witte, Yoni De
  • Jacobs, Patric
  • Hoorebeke, Luc Van
  • Dewanckele, Jan
  • Dierick, Manuel
  • Boone, Matthieu
Abstract

Many research topics in geology concern the study of internal processes of geo-materials on a pore-scale level in order to estimate their macroscopic behaviour. The microstructure of a porous medium and the physical characteristics of the solids and the fluids that occupy the pore space determine several macroscopic transport properties of the medium. Understanding the relationship between microstructure and transport is therefore of great theoretical and practical interest in many fields of technology. High resolution X-ray CT is becoming a widely used technique to study geo-materials in 3D at a pore-scale level. To be able to distinguish between the different components of a sample on a pore-scale level, it is important to obtain a high resolution, good contrast and a low noise level. The resolution that can be reached not only depends on the sample size and composition, but also on the specifications of the used X-ray source and X-ray detector and on the geometry of the system. An estimate of the achievable resolution with a certain setup can be derived by dividing the diameter of the sample by the number of pixel columns in the detector. For higher resolutions, the resolution is mainly limited by the focal spot size of the X-ray tube. Other factors like sample movement and deformation by thermal or mechanical effects also have a negative influence on the system's resolution, but they can usually be suppressed by a well-considered positioning of the sample and by monitoring its environment. Image contrast is subject to the amount of X-ray absorption by the sample. It depends both on the energy of the X-rays and on the density and atomic number of the present components. Contrast can be improved by carefully selecting the main X-ray energy level, which depends both on the X-ray source and the used detector. In some cases, it can be enhanced by doping the sample with a contrast agent. Both contrast and noise level depend on the detectability of the transmitted X-rays by the detector. Besides the detector characteristics, they also depend on the chosen scanning parameters. Since detection of X-rays is a statistical process, image quality will improve with increased exposure time. Several geo-materials were scanned under different acquisition parameters and with different hardware components. The resolution of these scans is crucial when pores or minerals inside geo-materials need to be analysed in 3D. The higher the resolution, the better one can distinguish pores and/or minerals. The results of these experiments will be illustrating the possibilities of flexible X-ray CT systems, like the ones of the Centrum for X-ray CT of the Ghent University (Belgium). Following the previous section, the quality of a scan strongly depends on using the appropriate equipment, the optimal scanner settings and adequate experience. Using optimized scanning conditions, it is even possible to visualize water in geo-materials. This offers a new promising future for high-resolution X-ray CT research in the domain of fluid flow in porous media. This non-destructive technique is able to simultaneously monitor the petrophysical conditions of the pore network and the fluid migration within, which enables for example optimisation of fluid-flow models. Additionally, visualisation of fluids inside geo-materials can also be used for the study of impregnation depths of conservation products. Some results of fluid migration inside geo-materials will be presented.

Topics
  • porous
  • density
  • impedance spectroscopy
  • microstructure
  • pore
  • mineral
  • experiment