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

Daraio, C.

  • Google
  • 4
  • 11
  • 182

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2016Highly nonlinear solitary waves in heterogeneous periodic granular media100citations
  • 2013Pressure-activated microsyringe composite scaffold of poly(L-lactic acid) and carbon nanotubes for bone tissue engineering34citations
  • 2011Highly nonlinear granular crystal sensor and actuator for delamination detection in composite structurescitations
  • 2011Modeling and in situ identification of material parameters for layered structures based on carbon nanotube arrays48citations

Places of action

Chart of shared publication
Kevrekidis, P.
1 / 1 shared
Szelengowicz, I.
1 / 1 shared
Herbold, E.
1 / 1 shared
Porter, M.
1 / 1 shared
Corallo, C.
1 / 1 shared
Vozzi, Giovanni
1 / 8 shared
Yang, J.
1 / 37 shared
Restuccia, Francesco
1 / 1 shared
Fraternali, Franca
1 / 1 shared
Amendola, A.
1 / 8 shared
Raney, J. R.
1 / 1 shared
Chart of publication period
2016
2013
2011

Co-Authors (by relevance)

  • Kevrekidis, P.
  • Szelengowicz, I.
  • Herbold, E.
  • Porter, M.
  • Corallo, C.
  • Vozzi, Giovanni
  • Yang, J.
  • Restuccia, Francesco
  • Fraternali, Franca
  • Amendola, A.
  • Raney, J. R.
OrganizationsLocationPeople

article

Modeling and in situ identification of material parameters for layered structures based on carbon nanotube arrays

  • Fraternali, Franca
  • Amendola, A.
  • Raney, J. R.
  • Daraio, C.
Abstract

We test and model the mechanical response of a multilayer composite structure composed of alternating layers of aligned carbon nanotubes and copper foils under compression. We employ a bistable mass-spring model to capture the three-phase hysteretic response of the loading curve with excellent agreement with the experimental observations. An in situ identification procedure is proposed to quantify the material parameters corresponding to the mesoscopic scale of the structure. We refine the results using a genetic algorithm and compare the response of two different models based on three and four springs in series. The localization of deformation can be accurately captured by these simplified models, which hold promise for the design of novel materials with tailored deformation responses. (C) 2011 Elsevier Ltd. All rights reserved.

Topics
  • impedance spectroscopy
  • Carbon
  • phase
  • nanotube
  • layered
  • composite
  • copper
  • aligned