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

Poole, Michael

  • Google
  • 2
  • 15
  • 130

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2012An assessment of biomass for bioelectricity and biofuel, and for greenhouse gas emission reduction in Australia97citations
  • 2010Eddy current simulation in thick cylinders of finite length induced by coils of arbitrary geometry33citations

Places of action

Chart of shared publication
Oconnell, Deborah
1 / 5 shared
Braid, Andrew
1 / 1 shared
Rodriguez, Luis
1 / 1 shared
Kriticos, Darren
1 / 1 shared
Campbell, Peter
1 / 1 shared
Taylor, Joely
1 / 1 shared
Jovanovic, Tom
1 / 1 shared
Crawford, Debbie
1 / 1 shared
Herr, Alexander Herr - Herry
1 / 1 shared
May, Barrie
1 / 1 shared
Oconnor, Mike
1 / 1 shared
Raison, John
1 / 1 shared
Farine, Damien
1 / 1 shared
Sanchez Lopez, Hector
1 / 1 shared
Crozier, Stuart
1 / 6 shared
Chart of publication period
2012
2010

Co-Authors (by relevance)

  • Oconnell, Deborah
  • Braid, Andrew
  • Rodriguez, Luis
  • Kriticos, Darren
  • Campbell, Peter
  • Taylor, Joely
  • Jovanovic, Tom
  • Crawford, Debbie
  • Herr, Alexander Herr - Herry
  • May, Barrie
  • Oconnor, Mike
  • Raison, John
  • Farine, Damien
  • Sanchez Lopez, Hector
  • Crozier, Stuart
OrganizationsLocationPeople

article

Eddy current simulation in thick cylinders of finite length induced by coils of arbitrary geometry

  • Poole, Michael
  • Sanchez Lopez, Hector
  • Crozier, Stuart
Abstract

Eddy currents are inevitably induced when time-varying magnetic field gradients interact with the metallic structures of a magnetic resonance imaging (MRI) scanner. The secondary magnetic field produced by this induced current degrades the spatial and temporal performance of the primary field generated by the gradient coils. Although this undesired effect can be minimized by using actively and/or passively shielded gradient coils and current pre-emphasis techniques, a residual eddy current still remains in the MRI scanner structure. Accurate simulation of these eddy currents is important in the successful design of gradient coils and magnet cryostat vessels. Efficient methods for simulating eddy currents are currently restricted to cylindrical-symmetry. The approach presented in this paper divides thick conducting cylinders into thin layers (thinner than the skin depth) and expresses the current density on each as a Fourier series. The coupling between each mode of the Fourier series with every other is modeled with an inductive network method. In this way, the eddy currents induced in realistic cryostat surfaces by coils of arbitrary geometry can be simulated. The new method was validated by simulating a canonical problem and comparing the results against a commercially available software package. An accurate skin depth of 2.76 mm was calculated in 6 min with the new method. The currents induced by an actively shielded x-gradient coil were simulated assuming a finite length cylindrical cryostat consisting of three different conducting materials. Details of the temporal-spatial induced current diffusion process were simulated through all cryostat layers, which could not be efficiently simulated with any other method. With this data, all quantities that depend on the current density, such as the secondary magnetic field, are simply evaluated. © 2010 Elsevier Inc. All rights reserved.

Topics
  • density
  • impedance spectroscopy
  • surface
  • simulation
  • current density