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

Molimard, Jérôme

  • Google
  • 10
  • 16
  • 144

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 20153D full-field strain measurements in soft tissues using Digital Volume Correlationcitations
  • 2012Numerical and experimental analyses of resin infusion manufacturing processes of composite materials16citations
  • 2011Implementation of the direct evaluation of strains using a phase analysis code for random patterns1citations
  • 2010Introduction to the Bayesian Approach Applied to Elastic Constants Identification31citations
  • 2009Experimental study of thick composites stability under thermal loading using 3D ESPI set-upcitations
  • 2009Experimental study of thick composites stability under thermal loading using 3D ESPI set-up Conference : 4th International Conference on Optical Measurement Techniques for Structures and Systems (OPTIMESS2009) MAY 25-26 2009, Antwerp, BELGIUMcitations
  • 2008A Bayesian Framework for Orthotropic Elastic Constants Identification Accounting for both Error and Variabilitycitations
  • 2007Modelling and Experimental Characterisation of Hygrothermoelastic Stress in Polymer Matrix Composites11citations
  • 2007Transient and cyclical hygrothermoelastic stress in laminated composite plates: Modelling and experimental assessment43citations
  • 2006On the nonlinear deformations of thin unsymmetric 0/90 composite plates under hygrothermal loads42citations

Places of action

Chart of shared publication
Tendela, Lucas
1 / 1 shared
Wang, Peng
1 / 18 shared
Vautrin, Alain
6 / 16 shared
Drapier, Sylvain
1 / 25 shared
Minni, Jean-Christophe
1 / 1 shared
Gogu, Christian
2 / 5 shared
Haftka, R. T.
1 / 1 shared
Le Riche, Rodolphe
1 / 9 shared
Kaufmann, Guillermo, H.
1 / 1 shared
Dolinko, Andrés
1 / 1 shared
Kaufmann, G. H.
1 / 2 shared
Dolinko, A. E.
1 / 2 shared
Haftka, Raphael
1 / 1 shared
Riche, Rodolphe Le
1 / 1 shared
Jacquemin, Frédéric
3 / 49 shared
Gigliotti, Marco
3 / 19 shared
Chart of publication period
2015
2012
2011
2010
2009
2008
2007
2006

Co-Authors (by relevance)

  • Tendela, Lucas
  • Wang, Peng
  • Vautrin, Alain
  • Drapier, Sylvain
  • Minni, Jean-Christophe
  • Gogu, Christian
  • Haftka, R. T.
  • Le Riche, Rodolphe
  • Kaufmann, Guillermo, H.
  • Dolinko, Andrés
  • Kaufmann, G. H.
  • Dolinko, A. E.
  • Haftka, Raphael
  • Riche, Rodolphe Le
  • Jacquemin, Frédéric
  • Gigliotti, Marco
OrganizationsLocationPeople

conferencepaper

3D full-field strain measurements in soft tissues using Digital Volume Correlation

  • Tendela, Lucas
  • Molimard, Jérôme
Abstract

International audience ; Generally, mechanical problems are studied using two-dimensional measurements of displacement or strain fields on flat (2D) or curved (2D½) surfaces. In the case of complex problems, however (non-planar loading, complex geometries, or heterogeneous structures), surface analysis can be insufficient, especially for biomechanical research. To explain the phenomena entirely full three-dimensional (3D) fields of displacement, strain, and/or stress are often needed.In this work, we present a new method to study the strain profile in soft tissues (i.e. arteries, muscle, skin) based on the Digital Volume Correlation (DVC) technique. This is a novel approach for full 3D strain and deformation measurements, already used for synthetic materials, wood or bones. In the case of human soft tissues, images are typically acquired from X-ray Computed Tomography systems, Multiphoton Microscopy, Magnetic Resonance Imaging, or 3D ultrasound technique. The quality of tissue optical signature is the main point to address; a specific robust implementation has been developed to get valid displacement vectors. Finally, our DVC code is a powerful non-intrusive technique for the identification of sub-surface material deformation and is capable of identifying defects, discontinuities or other material characteristics. DVC is also capable of yielding over one million displacement vectors per volume image pair.To show how the proposed technique could be implemented, we quantified the heterogeneous strain distribution in the human ascending thoracic aortic aneurysm (ATAA) at various levels of pressure. The preliminary results demonstrate that the proposed technique can be used as a valuable tool to assess the mechanical properties of soft tissues. Additional investigations are necessary to develop a practical approach to quantify the stress field of the sample and will be the subject of future work.

Topics
  • impedance spectroscopy
  • surface
  • tomography
  • defect
  • two-dimensional
  • wood
  • microscopy