Materials Map

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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.

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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.

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Naji, M.
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Laurson, Lasse

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Tampere University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (19/19 displayed)

  • 2024Magnetic domain wall dynamics studied by in-situ lorentz microscopy with aid of custom-made Hall-effect sensor holder5citations
  • 2024Barkhausen noise in disordered striplike ferromagnets5citations
  • 2024Magnetic domain walls interacting with dislocations in micromagnetic simulations1citations
  • 2024Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulationscitations
  • 2024Barkhausen noise in disordered striplike ferromagnets : Experiment versus simulations5citations
  • 2023Machine learning dislocation density correlations and solute effects in Mg-based alloys2citations
  • 2023Predicting elastic and plastic properties of small iron polycrystals by machine learning8citations
  • 2023Multi-instrumental approach to domain walls and their movement in ferromagnetic steels – Origin of Barkhausen noise studied by microscopy techniques12citations
  • 2022Novel utilization of microscopy and modelling to better understand Barkhausen noise signalcitations
  • 2021Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noise22citations
  • 2020Propagating bands of plastic deformation in a metal alloy as critical avalanches46citations
  • 2020Machine learning depinning of dislocation pileups11citations
  • 2019Bloch-line dynamics within moving domain walls in 3D ferromagnets15citations
  • 2018Effects of precipitates and dislocation loops on the yield stress of irradiated iron61citations
  • 2016Predicting sample lifetimes in creep fracture of heterogeneous materials38citations
  • 2016Glassy features of crystal plasticity48citations
  • 2014Influence of material defects on current-driven vortex domain wall mobility23citations
  • 2013A numerical approach to incorporate intrinsic material defects in micromagnetic simulationscitations
  • 2013Influence of disorder on vortex domain wall mobility in magnetic nanowirescitations

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Kajan, Jaakko
2 / 2 shared
Vippola, Minnamari
6 / 58 shared
Palosaari, Mikko
2 / 2 shared
Santa-Aho, Suvi Tuulikki
5 / 22 shared
Kaappa, Sami
5 / 6 shared
Savolainen, Samuli
2 / 2 shared
Lukinmaa, Henri
2 / 2 shared
Honkanen, Mari Hetti
5 / 59 shared
Azzari, Lucio
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Marinković, Miloš
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Djordjević, Antonije
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Janićević, Sanja
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Spasojević, Djordje
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Jovković, Dragutin
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Santa-Aho, Suvi
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Honkanen, Mari
1 / 22 shared
Tourret, D.
1 / 11 shared
Salmenjoki, H.
1 / 1 shared
Pérez-Prado, M. T.
1 / 13 shared
Shi, D.
1 / 2 shared
Cepeda-Jiménez, C. M.
1 / 34 shared
Papanikolaou, S.
1 / 14 shared
Alava, M. J.
1 / 9 shared
Mińkowski, Marcin
1 / 1 shared
Ullakko, Kari
1 / 5 shared
Saren, Andrey
1 / 1 shared
Eslahi, Nasser
1 / 2 shared
Foi, Alessandro
1 / 2 shared
Mäkinen, Tero
1 / 11 shared
Karppinen, Pasi
1 / 3 shared
Ovaska, Markus
2 / 4 shared
Alava, Mikko J.
4 / 19 shared
Skaugen, Audun
1 / 2 shared
Sarvilahti, Mika
1 / 1 shared
Herranen, Touko
1 / 2 shared
Lehtinen, Arttu
2 / 3 shared
Nordlund, Kai
1 / 54 shared
Granberg, Fredric
1 / 15 shared
Koivisto, Juha
1 / 14 shared
Miksic, Amandine
1 / 4 shared
Costantini, Giulio
1 / 1 shared
Zapperi, Stefano
1 / 10 shared
Durin, Gianfranco
3 / 10 shared
Dupré, Luc
3 / 16 shared
Van Waeyenberge, Bartel
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Leliaert, Jonathan
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Vansteenkiste, Arne
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Van De Wiele, Ben
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Chart of publication period
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Co-Authors (by relevance)

  • Kajan, Jaakko
  • Vippola, Minnamari
  • Palosaari, Mikko
  • Santa-Aho, Suvi Tuulikki
  • Kaappa, Sami
  • Savolainen, Samuli
  • Lukinmaa, Henri
  • Honkanen, Mari Hetti
  • Azzari, Lucio
  • Marinković, Miloš
  • Djordjević, Antonije
  • Janićević, Sanja
  • Spasojević, Djordje
  • Jovković, Dragutin
  • Santa-Aho, Suvi
  • Honkanen, Mari
  • Tourret, D.
  • Salmenjoki, H.
  • Pérez-Prado, M. T.
  • Shi, D.
  • Cepeda-Jiménez, C. M.
  • Papanikolaou, S.
  • Alava, M. J.
  • Mińkowski, Marcin
  • Ullakko, Kari
  • Saren, Andrey
  • Eslahi, Nasser
  • Foi, Alessandro
  • Mäkinen, Tero
  • Karppinen, Pasi
  • Ovaska, Markus
  • Alava, Mikko J.
  • Skaugen, Audun
  • Sarvilahti, Mika
  • Herranen, Touko
  • Lehtinen, Arttu
  • Nordlund, Kai
  • Granberg, Fredric
  • Koivisto, Juha
  • Miksic, Amandine
  • Costantini, Giulio
  • Zapperi, Stefano
  • Durin, Gianfranco
  • Dupré, Luc
  • Van Waeyenberge, Bartel
  • Leliaert, Jonathan
  • Vansteenkiste, Arne
  • Van De Wiele, Ben
OrganizationsLocationPeople

document

Novel utilization of microscopy and modelling to better understand Barkhausen noise signal

  • Laurson, Lasse
  • Vippola, Minnamari
  • Santa-Aho, Suvi Tuulikki
  • Kaappa, Sami
  • Honkanen, Mari Hetti
Abstract

The actual origin of the Barkhausen noise (BN) signal itself is not considered much in production quality control when industrial BN<br/>measurements are done. However, with assistance of electron microscopy, the information of microstructure and magnetic substructure,<br/>called as magnetic domains, from the sample can be gathered. Magnetic domains represent the magnetic substructure similar to the grain<br/>structure of the sample defining the magnetic properties of material. The BN measurement gives indirect information of the movements<br/>of magnetic domain walls (DWs) in the applied magnetic field. Electron microscopy allows us to make direct characterizations of micro-<br/>structural pinning sites (e.g., grain boundaries, dislocations, carbides) hindering the DW motion and to visualize how these pinning sites<br/>interact with DWs thus produce the BN signal. Here, we present a methodology to combine indirect (BN measurement) and direct<br/>(microscopy) studies to better understand how microstructural features affect the BN signal. BN measurements were done in millimeter<br/>scale producing the BN signal of the microstructural state while an external magnetic field was applied to material. Micrometer scale<br/>microstructural and crystallographic information was gained with scanning electron microscopy (SEM) together with electron backscatter<br/>diffraction (EBSD) technique. Down to sub-nanoscale microstructural features were studied by transmission electron microscopy (TEM).<br/>Lorentz electron microscopy in TEM was used to observe DWs and to visualize their motion. We used a simple structure, ferritic steel<br/>with carbides, to demonstrate the methodology. Fig. 1 presents examples how a microstructure and magnetic structure behind the BN<br/>signal can be studied by electron microscopy. The SEM image shows grain boundaries and carbides. Crystallographic information is<br/>commonly collected by TEM, however, TEM studies on the magnetic sample can be challenging and thus orientation and dislocation<br/>information is collected also by EBSD. By Lorentz microscopy, DWs are observed as white and black lines. In the future, the domain<br/>structure will be studied also by magnetic force microscopy (MFM). The influence of the pinning sites on the DW motion can be studied<br/>by Lorentz microscopy using an objective lens of TEM as a source of the applied magnetic field, i.e., the BN measurement can be<br/>visualized, see our earlier study [1]. Coupling experimental data with realistic computational modelling such as micromagnetic simulations<br/>enables, e.g., the study of detailed dependencies of statistical properties of BN and the underlying magnetization dynamics on the material<br/>microstructure, which can be created in the model system using experimental electron microscopy results as input. This novel utilization<br/>of multiscale characterization and modelling gives versatile information how microstructural features manifest in the ensuing BN signal.

Topics
  • impedance spectroscopy
  • grain
  • scanning electron microscopy
  • simulation
  • carbide
  • steel
  • transmission electron microscopy
  • dislocation
  • electron backscatter diffraction
  • magnetization
  • magnetic domain wall
  • magnetic force microscope