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

Maad, Rachid

  • Google
  • 1
  • 4
  • 2

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Multimodal analysis of gas-oil intermittent structures in co-current horizontal flow2citations

Places of action

Chart of shared publication
Stavland, Stian Husevik
1 / 1 shared
Arellano-Prieto, Yessica
1 / 4 shared
Hunt, Andy
1 / 3 shared
Hjertaker, Bjørn Tore
1 / 1 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Stavland, Stian Husevik
  • Arellano-Prieto, Yessica
  • Hunt, Andy
  • Hjertaker, Bjørn Tore
OrganizationsLocationPeople

document

Multimodal analysis of gas-oil intermittent structures in co-current horizontal flow

  • Stavland, Stian Husevik
  • Arellano-Prieto, Yessica
  • Maad, Rachid
  • Hunt, Andy
  • Hjertaker, Bjørn Tore
Abstract

Multiphase flow measurement aims to accurately quantify the flow rates of the fluids flowing through a pipe. Depending on the measurement principle, the accuracy can be heavily affected by the spatial distribution of flow components. The component distributions or flow patterns vary depending on the fluid properties and process conditions. The present work reports the measurement principles and analysis of the data simultaneously acquired from a multimodal metering device. A combined multimodal analysis, encompassing hard and soft tomography techniques, potentially leads to enhanced accuracy of the flow fractions. The multimodal approach exploited here combines Gamma-Ray tomography (GRT) and Electric Capacitance tomography (ECT). The metering methodology combines the robustness and high resolution of the techniques for density stratification and permittivity distributions imaging. The fundamental principles and imaging capabilities of each technique are addressed here. First results of the multimodal approach performance are also demonstrated using intermittent flow structure data obtained from the multiphase flow loop at NORCE Technology. The challenges and potential improvements are also stated. ; acceptedVersion

Topics
  • density
  • tomography