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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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 (7/7 displayed)

  • 2023Hafnium oxide nanocrystals for contrast enhanced vascular casting : from mechanistic insight to applicationcitations
  • 2022The influence of bases on thermal decomposition synthesis of LaF3citations
  • 2020An X-ray ray tracing simulation code for mono- and polycapillaries : description, advances and application12citations
  • 2020Highly sensitive nondestructive rare earth element detection by means of wavelength-dispersive X-ray fluorescence spectroscopy enabled by an energy dispersive pn-charge-coupled-device detector14citations
  • 2017Sensing the framework state and guest molecules in MIL-53(Al) via the electron paramagnetic resonance spectrum of V-IV dopant ions24citations
  • 2016Confocal depth-resolved micro-X-ray absorption spectroscopy study of chemically strengthened boroaluminosilicate glasses3citations
  • 2016Enhanced gas sorption and breathing properties of the new sulfone functionalized COMOC-2 metal organic framework26citations

Places of action

Chart of shared publication
Reyes Isaacura, Pablo
1 / 3 shared
Cornillie, Pieter
1 / 2 shared
Van Den Eynden, Dietger
1 / 3 shared
De Roo, Jonathan
1 / 16 shared
Maksimova, Elizaveta
1 / 1 shared
Goossens, Eline
1 / 3 shared
Deblock, Loren
1 / 3 shared
Aalling-Frederiksen, Olivia
1 / 6 shared
Sips, Patrick
1 / 1 shared
De Spiegelaere, Ward
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Bonnin, Anne
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Van Impe, Matthias
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Caboor, Lisa
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Kirsten, M. O. Jensen
1 / 1 shared
Van Driessche, Isabel
1 / 20 shared
Josipovic, Iván
1 / 1 shared
De Buysser, Klaartje
1 / 15 shared
Boone, Matthieu
1 / 9 shared
Premcheska, Simona
1 / 4 shared
Lederer, Mirijam
1 / 3 shared
Skirtach, Andre
1 / 22 shared
Vincze, Laszlo
6 / 8 shared
Kaczmarek, Anna
1 / 2 shared
Schoonjans, Tom
1 / 2 shared
Bauters, Stephen
2 / 3 shared
Brenker, Frank E.
1 / 1 shared
Pauw, Ella De
1 / 1 shared
Vekemans, Bart
2 / 3 shared
Falkenberg, Gerald
1 / 8 shared
Garrevoet, Jan
1 / 6 shared
Lindner, Miles
1 / 1 shared
Ashauer, Antonia
1 / 1 shared
Van Landeghem, Melissa
1 / 6 shared
Callens, Freddy
1 / 4 shared
Gast, Peter
1 / 3 shared
Goovaerts, Etienne
1 / 6 shared
Deduytsche, Davy
1 / 5 shared
Detavernier, Christophe
1 / 72 shared
Vrielinck, Henk
1 / 7 shared
Depauw, Hannes
2 / 2 shared
Leus, Karen
2 / 7 shared
Nevjestic, Irena
1 / 1 shared
Bras, Wim
1 / 15 shared
Banerjee, Dipanjan
1 / 14 shared
Mauro, John C.
1 / 47 shared
Smedskjaer, Morten M.
1 / 8 shared
Liu, Ying-Ya
1 / 2 shared
Couck, Sarah
1 / 5 shared
Denayer, Joeri Fm
1 / 1 shared
Wang, Guangbo
1 / 1 shared
Chart of publication period
2023
2022
2020
2017
2016

Co-Authors (by relevance)

  • Reyes Isaacura, Pablo
  • Cornillie, Pieter
  • Van Den Eynden, Dietger
  • De Roo, Jonathan
  • Maksimova, Elizaveta
  • Goossens, Eline
  • Deblock, Loren
  • Aalling-Frederiksen, Olivia
  • Sips, Patrick
  • De Spiegelaere, Ward
  • Bonnin, Anne
  • Van Impe, Matthias
  • Caboor, Lisa
  • Kirsten, M. O. Jensen
  • Van Driessche, Isabel
  • Josipovic, Iván
  • De Buysser, Klaartje
  • Boone, Matthieu
  • Premcheska, Simona
  • Lederer, Mirijam
  • Skirtach, Andre
  • Vincze, Laszlo
  • Kaczmarek, Anna
  • Schoonjans, Tom
  • Bauters, Stephen
  • Brenker, Frank E.
  • Pauw, Ella De
  • Vekemans, Bart
  • Falkenberg, Gerald
  • Garrevoet, Jan
  • Lindner, Miles
  • Ashauer, Antonia
  • Van Landeghem, Melissa
  • Callens, Freddy
  • Gast, Peter
  • Goovaerts, Etienne
  • Deduytsche, Davy
  • Detavernier, Christophe
  • Vrielinck, Henk
  • Depauw, Hannes
  • Leus, Karen
  • Nevjestic, Irena
  • Bras, Wim
  • Banerjee, Dipanjan
  • Mauro, John C.
  • Smedskjaer, Morten M.
  • Liu, Ying-Ya
  • Couck, Sarah
  • Denayer, Joeri Fm
  • Wang, Guangbo
OrganizationsLocationPeople

article

An X-ray ray tracing simulation code for mono- and polycapillaries : description, advances and application

  • Schoonjans, Tom
  • Vincze, Laszlo
  • Bauters, Stephen
  • Tack, Pieter
Abstract

Polycapillary optics, consisting of bundles of narrow hollow glass channels, are regularly used in the field of (micro-)X-ray fluorescence (XRF) spectroscopy to focus X-rays down to a microscopic spot while increasing the flux density of the beam on the sample. Polycapillaries guide X-ray photons through multiple total reflection events, similar to how light is guided within optic fibers. Although the use of polycapillaries in XRF spectroscopy allows for fairly straightforward qualitative elemental analysis, fundamental parameter (FP) based quantification remains difficult due to the energy dependent photon transmission efficiency, focal size, acceptance, etc. of these optics.In order to predict the polycapillary and input beam parameter dependent beam forming properties, a multithreaded Monte Carlo based polycapillary X-ray ray tracing code is presented. Apart from supporting photon ray tracing in 'ideal' straight, conical and ellipsoidal shaped polycapillary optics, it also allows for the simulation of photon propagation through arbitrarily shaped optics to account for small deviations from the ideal shape, as is often the case in real world examples. The current code allows for the simulation of so-called 'leak events', where the probability of a photon traveling through a capillary wall is taken into account, and also includes support for photon beam polarization effects.The simulated results show good agreement with experimental results obtained at the BM26A beamline of the European Synchrotron Radiation Facility (ESRF, Grenoble, France). The (poly)capillary X-ray ray tracing simulation code, called 'polycap', developed in the C language and with bindings for Python, is released under the GPLv3 license. The code is expected to assist in the quantification of (poly)capillary based X-ray fluorescence spectroscopy and may yield additional insight into the manufacturing and development of polycapillary optics.

Topics
  • density
  • impedance spectroscopy
  • simulation
  • glass
  • glass
  • forming
  • elemental analysis
  • fluorescence spectroscopy
  • X-ray fluorescence spectroscopy