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

Mersch, Johannes

  • Google
  • 9
  • 29
  • 30

Johannes Kepler University of Linz

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Thermoelectric Generator Modules based on Warp Knitted Glass Fiber-Metal Hybrid Compositescitations
  • 2023Weft-knitted active joints for smart composite applicationscitations
  • 2023DEVELOPMENT OF A YARN GUIDING AND IMPREGNATION TECHNOLOGY FOR ROBOT-ASISSTED FIBER MANUFACTURING OF 3D TEXTILE REINFORCEMENT STRUCTUREScitations
  • 2023Robot-assisted Manufacturing Technology for 3D Non-metallic Reinforcement Structures in the Construction Applications3citations
  • 2023Advancing Smart Textiles: Structural Evolution of Knitted Piezoresistive Strain Sensors for Enabling Precise Motion Capture3citations
  • 2022Integrated Temperature and Position Sensors in a Shape-Memory Driven Soft Actuator for Closed-Loop Control9citations
  • 2022Melt Spinning of Elastic and Electrically Conductive Filament Yarns and their Usage as Strain Sensors1citations
  • 2021High-speed, helical and self-coiled dielectric polymer actuator11citations
  • 2021Non-monotonic sensor behavior of carbon particle-filled textile strain sensors3citations

Places of action

Chart of shared publication
Golla, Anke
1 / 2 shared
Plentz, Jonathan
1 / 11 shared
Cherif, Chokri
9 / 112 shared
Gawlik, Annett
1 / 4 shared
Hahn, Lars
3 / 17 shared
Schmidl, Gabriele
1 / 3 shared
Bollengier, Q.
1 / 1 shared
Häntzsche, Eric Martin
2 / 23 shared
Nocke, Andreas
6 / 34 shared
Rabe, David
1 / 6 shared
Friese, Danny
2 / 8 shared
Neef, Tobias
1 / 3 shared
Le Xuan, Hung
1 / 4 shared
Mechtcherine, Viktor
1 / 60 shared
Warncke, Mareen N.
1 / 1 shared
Böhmer, Carola H.
1 / 1 shared
Sachse, Carmen
1 / 1 shared
Fischer, Susanne
1 / 1 shared
Bruns, Mathis
1 / 3 shared
Cuaran, Carlos Alberto Gomez
1 / 1 shared
Röbenack, Klaus
1 / 7 shared
Keshtkar, Najmeh
1 / 2 shared
Grellmann, Henriette
1 / 3 shared
Gerlach, Gerald
1 / 12 shared
Probst, Henriette
1 / 3 shared
Wollmann, Joanna
1 / 2 shared
Gerlach, G.
2 / 19 shared
Koenigsdorff, M.
1 / 2 shared
Probst, H.
1 / 1 shared
Chart of publication period
2024
2023
2022
2021

Co-Authors (by relevance)

  • Golla, Anke
  • Plentz, Jonathan
  • Cherif, Chokri
  • Gawlik, Annett
  • Hahn, Lars
  • Schmidl, Gabriele
  • Bollengier, Q.
  • Häntzsche, Eric Martin
  • Nocke, Andreas
  • Rabe, David
  • Friese, Danny
  • Neef, Tobias
  • Le Xuan, Hung
  • Mechtcherine, Viktor
  • Warncke, Mareen N.
  • Böhmer, Carola H.
  • Sachse, Carmen
  • Fischer, Susanne
  • Bruns, Mathis
  • Cuaran, Carlos Alberto Gomez
  • Röbenack, Klaus
  • Keshtkar, Najmeh
  • Grellmann, Henriette
  • Gerlach, Gerald
  • Probst, Henriette
  • Wollmann, Joanna
  • Gerlach, G.
  • Koenigsdorff, M.
  • Probst, H.
OrganizationsLocationPeople

article

Non-monotonic sensor behavior of carbon particle-filled textile strain sensors

  • Cherif, Chokri
  • Probst, H.
  • Gerlach, G.
  • Nocke, Andreas
  • Mersch, Johannes
Abstract

<p>Carbon particle-filled elastomers are a widely researched option to be used as piezoresistive strain sensors for soft robotics or human motion monitoring. Therefore, various polymers can be compounded with carbon black (CB), carbon nanotubes (CNT) or graphene. However, in many studies, the electrical resistance strain response of the carbon particle-filled elastomers is non-monotonic in dynamic evaluation scenarios. The non-monotonic material behavior is also called shoulder phenomenon or secondary peak. Until today, the underlying cause is not sufficiently well understood. In this study, several influencing test parameters on the shoulder phenomena are explored, such as strain level, strain rate and strain history. Moreover, material parameters such as CNT content and anisotropy are varied in melt-spun CNT filled thermoplastic polyurethane (TPU) filament yarns, and their non-monotonic sensor response is evaluated. Additionally, a theoretical concept for the underlying mechanism and thereupon-based model is presented. An equivalent circuit model is used, which incorporates the visco-elastic properties and the characteristic of the percolation network formed by the conductive filler material. The simulation results are in good agreement when compared to the experimental results.</p>

Topics
  • impedance spectroscopy
  • Carbon
  • nanotube
  • simulation
  • melt
  • thermoplastic
  • elastomer