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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2022Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Modelscitations
  • 2022The electronic structure of Tb silicide nanowires on Si(001)citations
  • 2020Wafer-level integration of self-aligned high aspect ratio silicon 3D structures using the MACE method with Au, Pd, Pt, Cu, and Ir9citations
  • 2011Simulation-Based Planning of Optimal Conditions for Industrial Computed Tomographycitations
  • 2010Synchronous artefact reduction in industrial computed tomography ; Einsatzsynchrone Artefakt-Reduktion in der industriellen Computertomografie1citations
  • 2010Synchronous arftefact reduction in industrial computed tomography ; Einsatzsynchrone Artefakt-Reduktion in der industriellen Computertomografie1citations
  • 2007Thermal Analysis of Multilayer Printed Circuit Boards with Embedded Carbon Black-Polymer Resistors3citations

Places of action

Chart of shared publication
Pfingstl, S.
1 / 1 shared
Wartzack, S.
1 / 3 shared
Zimmermann, M.
1 / 23 shared
Appelfeller, Stephan
1 / 5 shared
Jirschik, H.-F.
1 / 1 shared
Dähne, M.
1 / 3 shared
Große, J.
1 / 1 shared
Junghans, R.
1 / 1 shared
Szeghalmi, A.
1 / 17 shared
Schmitt, P.
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Schulz, S. E.
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Reisinger, S.
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Hiller, Jochen
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Schmid, U.
1 / 6 shared
Kasperl, S.
3 / 3 shared
Stamminger, M.
2 / 3 shared
Zluc, A.
1 / 1 shared
Nicolics, Johann
1 / 3 shared
Stahr, H.
1 / 1 shared
Mündlein, Martin
1 / 1 shared
Hanreich, Gernot
1 / 1 shared
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2020
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Co-Authors (by relevance)

  • Pfingstl, S.
  • Wartzack, S.
  • Zimmermann, M.
  • Appelfeller, Stephan
  • Jirschik, H.-F.
  • Dähne, M.
  • Große, J.
  • Junghans, R.
  • Szeghalmi, A.
  • Schmitt, P.
  • Schulz, S. E.
  • Reisinger, S.
  • Hiller, Jochen
  • Schmid, U.
  • Kasperl, S.
  • Stamminger, M.
  • Zluc, A.
  • Nicolics, Johann
  • Stahr, H.
  • Mündlein, Martin
  • Hanreich, Gernot
OrganizationsLocationPeople

article

Estimation of Composite Laminate Ply Angles Using an Inverse Bayesian Approach Based on Surrogate Models

  • Pfingstl, S.
  • Franz, M.
  • Wartzack, S.
  • Zimmermann, M.
Abstract

<jats:title>Abstract</jats:title><jats:p>A digital twin (DT) relies on a detailed, virtual representation of a physical product. Since uncertainties and deviations can lead to significant changes in the functionality and quality of products, they should be considered in the DT. However, valuable product properties are often hidden and thus difficult to integrate into a DT. In this work, a Bayesian inverse approach based on surrogate models is applied to infer hidden composite laminate ply angles from strain measurements. The approach is able to find the true values even for ill-posed problems and shows good results up to 6 plies.</jats:p>

Topics
  • impedance spectroscopy
  • composite