Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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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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.

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Vermeij, Tijmen

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Swiss Federal Laboratories for Materials Science and Technology

in Cooperation with on an Cooperation-Score of 37%

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Publications (12/12 displayed)

  • 2024An integrated experimental-numerical study of martensite/ferrite interface damage initiation in dual-phase steels12citations
  • 2024Magnetron sputter deposition of amorphous silicon–SiO 2 quantized nanolaminates1citations
  • 2024+SSLIP: Automated Radon-assisted and Rotation-corrected identification of complex HCP slip system activity fields from DIC datacitations
  • 2024A quasi-2D integrated experimental–numerical approach to high-fidelity mechanical analysis of metallic microstructures9citations
  • 2024Enhancement of copper nanoparticle yield in magnetron sputter inert gas condensation by applying substrate bias voltage and its influence on thin film morphology2citations
  • 2024Magnetron Sputter Deposition of Amorphous Silicon–SiO<sub>2</sub> Quantized Nanolaminates1citations
  • 2023Micro-mechanical deformation behavior of heat-treated laser powder bed fusion processed Ti-6Al-4V8citations
  • 2022Plasticity, localization, and damage in ferritic-pearlitic steel studied by nanoscale digital image correlation32citations
  • 2022A Nanomechanical Testing Framework Yielding Front&Rear-Sided, High-Resolution, Microstructure-Correlated SEM-DIC Strain Fields22citations
  • 2022Influence of porosity and blistering on the thermal fatigue behavior of tungsten6citations
  • 2021Revisiting the martensite/ferrite interface damage initiation mechanism: The key role of substructure boundary sliding32citations
  • 2021Recrystallization-mediated crack initiation in tungsten under simultaneous high-flux hydrogen plasma loads and high-cycle transient heating19citations

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Geers, Mgd Marc
5 / 117 shared
Maresca, Francesco
2 / 13 shared
Kouznetsova, Varvara G.
2 / 11 shared
Hoefnagels, Jpm Johan
8 / 71 shared
Liu, Lei
2 / 4 shared
Maeder, Xavier
2 / 52 shared
Schwyn Thöny, Silvia
1 / 1 shared
Sharma, Amit
2 / 26 shared
Gmünder, Raphael
2 / 2 shared
Baselgia, Manuel
2 / 2 shared
Waldner, Stephan
2 / 2 shared
Bärtschi, Manuel
2 / 2 shared
Batzer, Marietta
2 / 2 shared
Slokker, G.
1 / 1 shared
Hoefnagels, J. P. M.
1 / 23 shared
König, D.
1 / 3 shared
Mornout, C. J. A.
1 / 2 shared
Peerlings, R. H. J.
1 / 31 shared
Wijnen, Job
1 / 2 shared
Knabl, Florian
1 / 2 shared
Patil, Prathamesh
1 / 2 shared
Pichler, Christian M.
1 / 3 shared
Mitterer, Christian
1 / 28 shared
Bandl, Christine
1 / 2 shared
Gutnik, Dominik
1 / 1 shared
Putz, Barbara
1 / 18 shared
Thoeny, Silvia Schwyn
1 / 1 shared
Dhekne, Pushkar Prakash
1 / 2 shared
Jadhav, Suraj Dinkar
1 / 3 shared
Devulapalli, Vivek
1 / 4 shared
Vanmeensel, Kim
1 / 81 shared
Neggers, J.
1 / 2 shared
Verstijnen, J. A. C.
1 / 2 shared
Blaysat, B.
1 / 2 shared
Cantador, T. J. J. Ramirez Y.
1 / 1 shared
Zhu, Q.
1 / 10 shared
Morgan, Thomas
2 / 5 shared
Li, Y.
2 / 95 shared
Loewenhoff, Th.
1 / 5 shared
Van Dommelen, Johannes A. W.
1 / 32 shared
Vernimmen, J. W. M.
1 / 5 shared
Temmerman, G. De
1 / 8 shared
Wirtz, M.
1 / 21 shared
Verbeken, K.
1 / 34 shared
Chart of publication period
2024
2023
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Co-Authors (by relevance)

  • Geers, Mgd Marc
  • Maresca, Francesco
  • Kouznetsova, Varvara G.
  • Hoefnagels, Jpm Johan
  • Liu, Lei
  • Maeder, Xavier
  • Schwyn Thöny, Silvia
  • Sharma, Amit
  • Gmünder, Raphael
  • Baselgia, Manuel
  • Waldner, Stephan
  • Bärtschi, Manuel
  • Batzer, Marietta
  • Slokker, G.
  • Hoefnagels, J. P. M.
  • König, D.
  • Mornout, C. J. A.
  • Peerlings, R. H. J.
  • Wijnen, Job
  • Knabl, Florian
  • Patil, Prathamesh
  • Pichler, Christian M.
  • Mitterer, Christian
  • Bandl, Christine
  • Gutnik, Dominik
  • Putz, Barbara
  • Thoeny, Silvia Schwyn
  • Dhekne, Pushkar Prakash
  • Jadhav, Suraj Dinkar
  • Devulapalli, Vivek
  • Vanmeensel, Kim
  • Neggers, J.
  • Verstijnen, J. A. C.
  • Blaysat, B.
  • Cantador, T. J. J. Ramirez Y.
  • Zhu, Q.
  • Morgan, Thomas
  • Li, Y.
  • Loewenhoff, Th.
  • Van Dommelen, Johannes A. W.
  • Vernimmen, J. W. M.
  • Temmerman, G. De
  • Wirtz, M.
  • Verbeken, K.
OrganizationsLocationPeople

document

+SSLIP: Automated Radon-assisted and Rotation-corrected identification of complex HCP slip system activity fields from DIC data

  • Slokker, G.
  • Hoefnagels, J. P. M.
  • Vermeij, Tijmen
  • König, D.
  • Mornout, C. J. A.
Abstract

Identification of crystallographic slip in metals and alloys is crucial to understand and improve their mechanical behavior. Recently, a novel slip system identification framework, termed SSLIP (for Slip System-based Local Identification of Plasticity), was introduced to leap from conventional trace-based identification to automated, point-by-point identification that exploits the full deformation kinematics. Using microstructure-correlated deformation data, SSLIP matches the measured in-plane displacement gradient tensor to the kinematics of the optimal combination of multiple slip system activities, at each DIC datapoint. SSLIP was applied and demonstrated to be successful on virtual and experimental case studies of FCC and BCC metals. However, for more advanced and anisotropic HCP crystal structures the complete identification of all slip systems was found to be more challenging, posing limitations on automation and flexibility. Here, we propose a significant extension to the SSLIP framework with the aim of automated slip system identification of HCP. The main extensions of the SSLIP method, hereinafter referred to as the +SSLIP method, include (i) a pre-selection of slip systems using a Radon transform, (ii) robustness to measured rigid body rotation by simultaneous identification of the local elastic rotation field, (iii) identification of the two best matching slip systems for each data point, and (iv) a procedure to deal with slip systems with in-plane displacement gradient tensors that cannot be discriminated, yielding the full slip system activity maps with all slip systems for each grain. The resulting objective identification method does not rely on, e.g., the Schmid factor to select which slip system is active at each point. We show how slip systems from multiple slip families are successfully identified on virtual and real experiments on a Zn polycrystalline coating.

Topics
  • impedance spectroscopy
  • grain
  • experiment
  • anisotropic
  • plasticity