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

Sasikala, G.

  • Google
  • 2
  • 9
  • 73

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2018Creep modelling of P91 steel employing a microstructural based hybrid concept26citations
  • 2015Experimental Investigation on Mechanical Properties of Hemp-Banana-Glass Fiber Reinforced Composites47citations

Places of action

Chart of shared publication
Scherer, T.
1 / 8 shared
Albert, S. K.
1 / 5 shared
Reddy, G. V. Prasad
1 / 5 shared
Laha, K.
1 / 2 shared
Yadav, S. D.
1 / 1 shared
Poletti, Maria Cecilia
1 / 79 shared
Deepa, C.
1 / 1 shared
Bhoopathi, R.
1 / 2 shared
Ramesh, M.
1 / 8 shared
Chart of publication period
2018
2015

Co-Authors (by relevance)

  • Scherer, T.
  • Albert, S. K.
  • Reddy, G. V. Prasad
  • Laha, K.
  • Yadav, S. D.
  • Poletti, Maria Cecilia
  • Deepa, C.
  • Bhoopathi, R.
  • Ramesh, M.
OrganizationsLocationPeople

article

Creep modelling of P91 steel employing a microstructural based hybrid concept

  • Scherer, T.
  • Albert, S. K.
  • Reddy, G. V. Prasad
  • Laha, K.
  • Sasikala, G.
  • Yadav, S. D.
  • Poletti, Maria Cecilia
Abstract

<p>In 9–12% Cr steels, tertiary creep stage is led by the synergistic effect of precipitate coarsening, substructure recovery and cavitation, therefore difficult to address it physically. Overcoming this problem to a certain extent, in present research work creep curves of P91 steel are modelled up to the onset of tertiary regime, based on a hybrid concept that couples a physical model to continuum damage mechanics (CDM) approach. The physical approach describes the microstructure evolution, CDM approach addresses the damage evolution and this combination enables to model up to the onset of tertiary creep stage. The aforementioned hybrid approach considers three types of dislocation densities explicitly, i.e., mobile, boundary and dipoles. Furthermore, the number density and size of precipitates in as-received condition is obtained from MatCalc software and incorporated in the model. The modelled creep curves are in good agreement with the experimental creep curves up to the onset of tertiary creep stage. The evolution of different dislocation densities, subgrain size and damage parameters are discussed thoroughly. The evolution of glide and climb velocities are also compared for the first time. From the investigated conditions, it is deduced that glide velocity dominates over climb and hence accommodating the creep strain. It must be further emphasized that the model predicts higher dislocation densities and smaller subgrain size at higher stresses, in accordance with empirical relationships.</p>

Topics
  • density
  • impedance spectroscopy
  • steel
  • dislocation
  • precipitate
  • creep