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

Siller, Maximilian

  • Google
  • 3
  • 14
  • 21

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021Geometrical model for calculating the effect of surface morphology on total x-ray output of medical x-ray tubes6citations
  • 2020Microstructural evolution of W-10Re alloys due to thermal cycling at high temperatures and its impact on surface degradation15citations
  • 2019Beryllium – A challenge for preparation and mechanical characterizationcitations

Places of action

Chart of shared publication
Schatte, Jürgen
1 / 1 shared
Knabl, Wolfram
2 / 6 shared
Bostrom, Neil
1 / 1 shared
Greenland, Kasey
1 / 1 shared
Pippan, Reinhard
2 / 48 shared
Jelinek, Alexander
1 / 2 shared
Minkkinen, Mik
1 / 1 shared
Bogust, Pamela
1 / 1 shared
Maier-Kiener, Verena
3 / 24 shared
Clemens, Helmut
3 / 120 shared
Gerzoskovitz, Stefan
1 / 1 shared
Schatte, J.
1 / 2 shared
Rolli, R.
1 / 8 shared
Kappacher, Johann
1 / 4 shared
Chart of publication period
2021
2020
2019

Co-Authors (by relevance)

  • Schatte, Jürgen
  • Knabl, Wolfram
  • Bostrom, Neil
  • Greenland, Kasey
  • Pippan, Reinhard
  • Jelinek, Alexander
  • Minkkinen, Mik
  • Bogust, Pamela
  • Maier-Kiener, Verena
  • Clemens, Helmut
  • Gerzoskovitz, Stefan
  • Schatte, J.
  • Rolli, R.
  • Kappacher, Johann
OrganizationsLocationPeople

article

Geometrical model for calculating the effect of surface morphology on total x-ray output of medical x-ray tubes

  • Schatte, Jürgen
  • Knabl, Wolfram
  • Bostrom, Neil
  • Greenland, Kasey
  • Pippan, Reinhard
  • Jelinek, Alexander
  • Siller, Maximilian
  • Minkkinen, Mik
  • Bogust, Pamela
  • Maier-Kiener, Verena
  • Clemens, Helmut
Abstract

<p>Purpose: Correlation of characteristic surface appearance and surface roughness with measured air kerma (kinetic energy released in air) reduction of tungsten-rhenium (WRe) stationary anode surfaces. Methods: A stationary anode test system was developed and used to alter nine initially ground sample surfaces through thermal cycling at high temperatures. A geometrical model based on high resolution surface data was implemented to correlate the measured reduction of the air kerma rate with the changing surface appearance of the samples. In addition to the nine thermally cycled samples, three samples received synthetic surface structuring to prove the applicability of the model to nonconventional surface alterations. Representative surface data and surface roughness values were acquired by laser scanning confocal microscopy. Results: After thermal cycling in the stationary anode test system, the samples showed surface features comparable to rotating anodes after long-time operation. The established model enables the appearance of characteristic surface features like crack networks, pitting, and local melting to be linked to the local x-ray output at 100 kV tube voltage, 10° anode take off angle and 2 mm of added Al filtration. The results from the conducted air kerma measurements were compared to the predicted total x-ray output reduction from the geometrical model and show, on average, less than 10 % error within the 12 tested samples. In certain boundaries, the calculated surface roughness R<sub>a</sub> showed a linear correlation with the measured air kerma reduction when samples were having comparable damaging characteristics and similar operation parameters. The orientation of the surface features had a strong impact on the measured air kerma rate which was shown by testing synthetically structured surfaces. Conclusions: The geometrical model used herein considers and describes the effect of individual surface features on the x-ray output. In close boundaries arithmetic surface roughness R<sub>a</sub> was found to be a useful characteristic value on estimating the effect of surface damage on total x-ray output.</p>

Topics
  • morphology
  • surface
  • laser emission spectroscopy
  • crack
  • tungsten
  • rhenium
  • confocal microscopy