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

Kuhl, Ellen

  • Google
  • 7
  • 26
  • 426

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Automated model discovery for human brain using Constitutive Artificial Neural Networks.73citations
  • 2022Correlating the microstructural architecture and macrostructural behaviour of the brain.18citations
  • 2022Automated model discovery for human brain using Constitutive Artificial Neural Networks6citations
  • 2020Towards microstructure-informed material models for human brain tissue84citations
  • 2015Emerging Brain Morphologies from Axonal Elongation99citations
  • 2009Stress-strain behavior of mitral valve leaflets in the beating ovine heart63citations
  • 2008Material properties of the ovine mitral valve anterior leaflet in vivo from inverse finite element analysis83citations

Places of action

Chart of shared publication
Pierre, Sarah R.
1 / 1 shared
Linka, Kevin
2 / 2 shared
Püllmann, Denise
1 / 1 shared
Hoppstädter, Mayra
1 / 1 shared
Seydewitz, Robert
1 / 1 shared
Böl, Markus
1 / 2 shared
Budday, Silvia
1 / 4 shared
Sarem, M.
1 / 2 shared
Starck, L.
1 / 1 shared
Sommer, Gerhard
1 / 4 shared
Paulsen, F.
1 / 3 shared
Shastri, V. P.
1 / 1 shared
Steinmann, P.
1 / 11 shared
Pfefferle, J.
1 / 1 shared
Holzapfel, Gerhard
1 / 4 shared
Phunchago, N.
1 / 1 shared
Holland, Maria A.
1 / 1 shared
Miller, Kyle E.
1 / 1 shared
Krishnamurthy, Gaurav
2 / 2 shared
Karlsson, Matts
2 / 4 shared
Bothe, Wolfgang
2 / 4 shared
Ingels, Neil B.
2 / 2 shared
Itoh, Akinobu
2 / 2 shared
Swanson, Julia C.
2 / 2 shared
Miller, D. Craig
2 / 2 shared
Ennis, Daniel B.
1 / 1 shared
Chart of publication period
2023
2022
2020
2015
2009
2008

Co-Authors (by relevance)

  • Pierre, Sarah R.
  • Linka, Kevin
  • Püllmann, Denise
  • Hoppstädter, Mayra
  • Seydewitz, Robert
  • Böl, Markus
  • Budday, Silvia
  • Sarem, M.
  • Starck, L.
  • Sommer, Gerhard
  • Paulsen, F.
  • Shastri, V. P.
  • Steinmann, P.
  • Pfefferle, J.
  • Holzapfel, Gerhard
  • Phunchago, N.
  • Holland, Maria A.
  • Miller, Kyle E.
  • Krishnamurthy, Gaurav
  • Karlsson, Matts
  • Bothe, Wolfgang
  • Ingels, Neil B.
  • Itoh, Akinobu
  • Swanson, Julia C.
  • Miller, D. Craig
  • Ennis, Daniel B.
OrganizationsLocationPeople

article

Material properties of the ovine mitral valve anterior leaflet in vivo from inverse finite element analysis

  • Krishnamurthy, Gaurav
  • Ennis, Daniel B.
  • Karlsson, Matts
  • Kuhl, Ellen
  • Bothe, Wolfgang
  • Ingels, Neil B.
  • Itoh, Akinobu
  • Swanson, Julia C.
  • Miller, D. Craig
Abstract

We measured leaflet displacements and used inverse finite-element analysis to define, for the first time, the material properties of mitral valve (MV) leaflets in vivo. Sixteen miniature radiopaque markers were sewn to the MV annulus, 16 to the anterior MV leaflet, and 1 on each papillary muscle tip in 17 sheep. Four-dimensional coordinates were obtained from biplane videofluoroscopic marker images (60 frames/s) during three complete cardiac cycles. A finite-element model of the anterior MV leaflet was developed using marker coordinates at the end of isovolumic relaxation (IVR; when the pressure difference across the valve is approximately 0), as the minimum stress reference state. Leaflet displacements were simulated during IVR using measured left ventricular and atrial pressures. The leaflet shear modulus (G(circ-rad)) and elastic moduli in both the commisure-commisure (E(circ)) and radial (E(rad)) directions were obtained using the method of feasible directions to minimize the difference between simulated and measured displacements. Group mean (+/-SD) values (17 animals, 3 heartbeats each, i.e., 51 cardiac cycles) were as follows: G(circ-rad) = 121 +/- 22 N/mm2, E(circ) = 43 +/- 18 N/mm2, and E(rad) = 11 +/- 3 N/mm2 (E(circ) > E(rad), P < 0.01). These values, much greater than those previously reported from in vitro studies, may result from activated neurally controlled contractile tissue within the leaflet that is inactive in excised tissues. This could have important implications, not only to our understanding of mitral valve physiology in the beating heart but for providing additional information to aid the development of more durable tissue-engineered bioprosthetic valves.

Topics
  • impedance spectroscopy
  • finite element analysis