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

Ostaszewska-Liżewska, Anna

  • Google
  • 4
  • 12
  • 14

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2021LTspice Implementation of Gyrator-Capacitor Magnetic Circuit Model Considering Losses and Magnetic Saturation for Transient Simulations of Switching Mode Power Supplies Utilizing Inductive Elements with Cores Made of Amorphous Alloyscitations
  • 2020Modelling the Fluxgate Sensors with Magnetic Field Concentrators6citations
  • 2020Accuracy of frame-shaped samples based measurements of magnetoelastic characteristics of soft magnetic materials8citations
  • 2019Subjective Quality Evaluation of a Full Resolution Video with Eligible Number of Reference Picturescitations

Places of action

Chart of shared publication
Szewczyk, Roman
3 / 34 shared
Kolano-Burian, Aleksandra
1 / 13 shared
Petruk, Oleg
1 / 3 shared
Bieńkowski, Adam
2 / 11 shared
Gazda, Piotr
1 / 3 shared
Nowak, Paweł Tomasz
1 / 4 shared
Nowicki, Michał
2 / 24 shared
Charubin, Tomasz
1 / 4 shared
Råback, Peter
1 / 1 shared
Nowak, Paweł
1 / 1 shared
Malinen, Mika
1 / 1 shared
Kłoda, Rafał
1 / 2 shared
Chart of publication period
2021
2020
2019

Co-Authors (by relevance)

  • Szewczyk, Roman
  • Kolano-Burian, Aleksandra
  • Petruk, Oleg
  • Bieńkowski, Adam
  • Gazda, Piotr
  • Nowak, Paweł Tomasz
  • Nowicki, Michał
  • Charubin, Tomasz
  • Råback, Peter
  • Nowak, Paweł
  • Malinen, Mika
  • Kłoda, Rafał
OrganizationsLocationPeople

article

Modelling the Fluxgate Sensors with Magnetic Field Concentrators

  • Szewczyk, Roman
  • Råback, Peter
  • Ostaszewska-Liżewska, Anna
Abstract

This paper presents the efficiency analysis of magnetic flux concentrator attached to the core of fluxgate sensormade of amorphous alloy ribbon. Simulations were carried out using open-source software toolchain covering Netgen, Elmer FEM, and ParaView. The results indicate that the increase of the length of the core significantly reduces the demagnetization factor, which increases the sensitivity of fluxgate sensor. However, the use of magnetic flux concentrator does not lead to significant increase of sensitivity of fluxgate sensor with core made of thin layer magnetic material.

Topics
  • amorphous
  • simulation