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

Escamez, Guillaume

  • Google
  • 3
  • 12
  • 11

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2018Hybrid analytical and integral methods for simulating HTS materialscitations
  • 2018Numerical Investigations of ReBCO Conductors With High Limitation Electric Field for HVDC SFCL11citations
  • 2016AC losses in superconductors : a multi-scale approach for the design of high current cables ; Pertes AC dans les supraconducteurs : une approche multi-échelle pour le dimensionnement de câbles fort courantcitations

Places of action

Chart of shared publication
Menana, Hocine
1 / 7 shared
Lévêque, Jean
1 / 31 shared
Dilasser, Guillaume
1 / 1 shared
Berger, Kévin
1 / 46 shared
Quéval, Loïc
1 / 1 shared
Ramdane, Brahim
1 / 3 shared
Trillaud, Frédéric
1 / 4 shared
Vialle, Julien
1 / 1 shared
Bruzek, Christian-Eric
1 / 4 shared
Große, Veit
1 / 3 shared
Tixador, Pascal
1 / 1 shared
Bauer, Markus
1 / 2 shared
Chart of publication period
2018
2016

Co-Authors (by relevance)

  • Menana, Hocine
  • Lévêque, Jean
  • Dilasser, Guillaume
  • Berger, Kévin
  • Quéval, Loïc
  • Ramdane, Brahim
  • Trillaud, Frédéric
  • Vialle, Julien
  • Bruzek, Christian-Eric
  • Große, Veit
  • Tixador, Pascal
  • Bauer, Markus
OrganizationsLocationPeople

conferencepaper

Hybrid analytical and integral methods for simulating HTS materials

  • Menana, Hocine
  • Lévêque, Jean
  • Dilasser, Guillaume
  • Berger, Kévin
  • Quéval, Loïc
  • Ramdane, Brahim
  • Escamez, Guillaume
  • Trillaud, Frédéric
Abstract

International audience ; High Temperature Superconductors (HTS) are promising for applications requiring high power densities, such as superconducting electrical motors. Various approaches have been developed to model HTS, in particular for AC losses evaluation in thin wires and tapes. Indeed, AC losses are one of the key factors to size properly the cryogenic systems. In some applications, where the HTS materials are used as magnetic screens or as permanent magnets, such as in electrical motors, it is relevant to estimate properly the penetration of the magnetic field in order to optimize the magnetization processes and the integration of these materials in such systems.In previous works [1]–[3], analytical tools in 2D have been successfully developed for calculating the magnetic field distribution in different devices integrating HTS bulks by considering them as perfect diamagnetic materials, e.g. a superconducting electrical machine or an inductor with an iron core used for the pulsed field magnetization of a bulk HTS. These methods provide continuous derivatives and are useful tools for the design and optimization of such systems. They lead to meaningful solutions with helpful physical insights. However, they are limited to simple geometries and do not take into account either eddy currents or the variation of the critical current density with the magnetic field, which is crucial in HTS. On the other hand, rapid modeling approaches are needed, and the use of classical numerical tools is often ineffective in the design and optimization process due to considerable calculation time. Specific numerical approaches ensuring a better compromise between precision and calculation time are still required.In this context, the present work presents a hybrid model in which the HTS behavior is represented by the power law E(J, B) = Ec (J /Jc (B)) ^ n(B), taking into account the variation of the critical current density and the power exponent with respect to the magnetic flux density. The magnetic vector potential, the ...

Topics
  • density
  • impedance spectroscopy
  • simulation
  • iron
  • current density
  • wire
  • magnetization
  • superconductivity
  • superconductivity