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 (2/2 displayed)

  • 2024X-ray computed tomography of the periodically moving object2citations
  • 2022Application of 2 × 5 MPX3 camera with monolithic sensor for phase contrast imaging and computed tomography1citations

Places of action

Chart of shared publication
Macháček, M.
1 / 1 shared
Kytýř, D.
1 / 20 shared
Rada, V.
1 / 1 shared
Fíla, T.
1 / 22 shared
Zlámal, P.
1 / 13 shared
Žemlička, J.
1 / 5 shared
Zemlicka, J.
1 / 1 shared
Kumpova, I.
1 / 1 shared
Dudak, J.
1 / 1 shared
Chart of publication period
2024
2022

Co-Authors (by relevance)

  • Macháček, M.
  • Kytýř, D.
  • Rada, V.
  • Fíla, T.
  • Zlámal, P.
  • Žemlička, J.
  • Zemlicka, J.
  • Kumpova, I.
  • Dudak, J.
OrganizationsLocationPeople

article

X-ray computed tomography of the periodically moving object

  • Macháček, M.
  • Kytýř, D.
  • Rada, V.
  • Fíla, T.
  • Zlámal, P.
  • Vavrik, Daniel
  • Žemlička, J.
Abstract

<jats:title>Abstract</jats:title><jats:p>X-ray computed tomography is a standard method of non-destructive testing of a wide rangeof static objects. In recent years, time-dependent tomography has been on the rise, for which itis necessary to acquire a series of tomographic data covering the event of interest. For slowerprocesses, conventional laboratory X-ray computed tomography (CT) scanners can be used, while whenevents are faster, a very intense X-ray source is usually required. For high resolutionrequirements, the need for an intense X-ray source leads to the use of a synchrotron. An exceptionis tomographic tracking of periodic events. As will be shown, for these, a good qualityreconstruction can be achieved even in the case of a relatively low-intensity X-ray source. Toavoid blurring of the individual X-ray images by the motion of the object, the exposure time mustbe reasonably short. At motion rates of units of Hz, this time cannot be longer than tens of ms,this requirement naturally leads to low data statistics. Sufficient statistics is achieved byintegrating images taken at an identical position of the moving object. A key requirement of suchan approach is the precise synchronization of all active components of the system. The imagingdetector must be capable of taking images on demand by hardware triggering with the capability ofadequately short exposures. The ability of the CT system to investigate periodically movingobjects will be demonstrated on the object oscillating harmonically at 3.81 Hz.</jats:p>

Topics
  • impedance spectroscopy
  • tomography
  • mass spectrometry