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

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Naji, M.
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Kaestner, Anders

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2023A neutron radiography study on the drying of cement mortars: effect of mixture composition and crack length8citations
  • 2021In Situ Neutron Radiography Investigations of Hydrogen Related Processes in Zirconium Alloys6citations
  • 2021Resolving Gas Bubbles Ascending in Liquid Metal from Low-SNR Neutron Radiography Images12citations
  • 2020Characterization of oriented microstructures through anisotropic small-angle scattering by 2D neutron dark-field imaging16citations
  • 2018Investigations of the hydrogen diffusion and distribution in Zirconium by means of Neutron Imaging2citations
  • 2018Neutron Radiographic Study of the Effect of Heat-Driven Water Transport on the Tensile Strength of Bentonite-Bonded Moulding Sand5citations
  • 2017Neutron tomographic imaging of bone-implant interface23citations
  • 2015Quantitative Neutron Dark-field Imaging through Spin-Echo Interferometry33citations
  • 2011Spatiotemporal computed tomography of dynamic processes84citations

Places of action

Chart of shared publication
Hu, Zhangli
1 / 6 shared
Lura, Pietro
1 / 43 shared
Griffa, Michele
1 / 8 shared
Cajuhi, Tuanny
1 / 3 shared
Wyrzykowski, Mateusz
1 / 26 shared
Toropovs, Nikolajs
1 / 2 shared
De Lorenzis, Laura
1 / 7 shared
Schillinger, Burkhardt
1 / 1 shared
Grosse, Mirco
1 / 22 shared
Birjukovs, Mihails
1 / 1 shared
Klevs, Mārtiņš
1 / 1 shared
Hovind, Jan
1 / 2 shared
Gawryluk, Dariusz Jakub
1 / 5 shared
Trtik, Pavel
3 / 26 shared
Jakovics, Andris
1 / 4 shared
Grünzweig, Christian
1 / 5 shared
Valsecchi, Jacopo
1 / 3 shared
Carminati, Chiara
1 / 2 shared
Kagias, Matias
1 / 5 shared
Wang, Zhentian
1 / 3 shared
Harti, Ralph Patrick
1 / 1 shared
Jefimovs, Konstantins
1 / 12 shared
Strobl, Markus
2 / 25 shared
Daymond, M. R.
1 / 21 shared
Bertsch, J.
1 / 1 shared
Schillinger, B.
1 / 8 shared
Kardjilov, N.
1 / 24 shared
Santisteban, J. R.
1 / 5 shared
Grosse, M.
1 / 21 shared
Boehnke, Sandra
1 / 1 shared
Schmahl, Wolfgang W.
1 / 36 shared
Schiebel, Korbinian
1 / 1 shared
Schillinger, Burkhard
1 / 2 shared
Jordan, Guntram
1 / 2 shared
Perdikouri, Christina
1 / 1 shared
Tudisco, Erika
1 / 5 shared
Turunen, Mikael J.
1 / 2 shared
Hall, Stephen A.
1 / 19 shared
Isaksson, Hanna
1 / 17 shared
Tägil, Magnus
1 / 6 shared
Cann, Sophie Le
1 / 6 shared
Bouwman, Wim G.
1 / 7 shared
Tremsin, Anton S.
1 / 11 shared
Habicht, Klaus
1 / 11 shared
Pappas, Catherine
1 / 10 shared
Plomp, Jeroen
1 / 3 shared
Sales, Morten
1 / 4 shared
Butler, Les
1 / 1 shared
Münch, Beat
1 / 14 shared
Chart of publication period
2023
2021
2020
2018
2017
2015
2011

Co-Authors (by relevance)

  • Hu, Zhangli
  • Lura, Pietro
  • Griffa, Michele
  • Cajuhi, Tuanny
  • Wyrzykowski, Mateusz
  • Toropovs, Nikolajs
  • De Lorenzis, Laura
  • Schillinger, Burkhardt
  • Grosse, Mirco
  • Birjukovs, Mihails
  • Klevs, Mārtiņš
  • Hovind, Jan
  • Gawryluk, Dariusz Jakub
  • Trtik, Pavel
  • Jakovics, Andris
  • Grünzweig, Christian
  • Valsecchi, Jacopo
  • Carminati, Chiara
  • Kagias, Matias
  • Wang, Zhentian
  • Harti, Ralph Patrick
  • Jefimovs, Konstantins
  • Strobl, Markus
  • Daymond, M. R.
  • Bertsch, J.
  • Schillinger, B.
  • Kardjilov, N.
  • Santisteban, J. R.
  • Grosse, M.
  • Boehnke, Sandra
  • Schmahl, Wolfgang W.
  • Schiebel, Korbinian
  • Schillinger, Burkhard
  • Jordan, Guntram
  • Perdikouri, Christina
  • Tudisco, Erika
  • Turunen, Mikael J.
  • Hall, Stephen A.
  • Isaksson, Hanna
  • Tägil, Magnus
  • Cann, Sophie Le
  • Bouwman, Wim G.
  • Tremsin, Anton S.
  • Habicht, Klaus
  • Pappas, Catherine
  • Plomp, Jeroen
  • Sales, Morten
  • Butler, Les
  • Münch, Beat
OrganizationsLocationPeople

article

Quantitative Neutron Dark-field Imaging through Spin-Echo Interferometry

  • Bouwman, Wim G.
  • Kaestner, Anders
  • Tremsin, Anton S.
  • Habicht, Klaus
  • Pappas, Catherine
  • Plomp, Jeroen
  • Strobl, Markus
  • Sales, Morten
Abstract

<jats:title>Abstract</jats:title><jats:p>Neutron dark-field imaging constitutes a seminal progress in the field of neutron imaging as it combines real space resolution capability with information provided by one of the most significant neutron scattering techniques, namely small angle scattering. The success of structural characterizations bridging the gap between macroscopic and microscopic features has been enabled by the introduction of grating interferometers so far. The induced interference pattern, a spatial beam modulation, allows for mapping of small-angle scattering signals and hence addressing microstructures beyond direct spatial resolution of the imaging system with high efficiency. However, to date the quantification in the small angle scattering regime is severely limited by the monochromatic approach. To overcome such drawback we here introduce an alternative and more flexible method of interferometric beam modulation utilizing a spin-echo technique. This novel method facilitates straightforward quantitative dark-field neutron imaging, i.e. the required quantitative microstructural characterization combined with real space image resolution. For the first time quantitative microstructural reciprocal space information from small angle neutron scattering becomes available together with macroscopic image information creating the potential to quantify several orders of magnitude in structure sizes simultaneously.</jats:p>

Topics
  • impedance spectroscopy
  • microstructure
  • neutron scattering
  • interferometry