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

Yadav, Surya Deo

  • Google
  • 3
  • 10
  • 111

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2018Modelling and simulation of diffusion driven pore formation in martensitic steels during creep13citations
  • 2016Evolution of the substructure of a novel 12% Cr steel under creep conditions45citations
  • 2016Modelling the creep behaviour of tempered martensitic steel based on a hybrid approach53citations

Places of action

Chart of shared publication
Ahmadi, Mohammad Reza
1 / 2 shared
Poletti, Maria Cecilia
3 / 79 shared
Sonderegger, Bernhard
3 / 8 shared
Groma, István
1 / 4 shared
Kalácska, Szilvia
1 / 12 shared
Yubero, David Canelo
1 / 3 shared
Dománková, Mária
1 / 3 shared
Sommitsch, Christof
1 / 71 shared
Béal, Coline
1 / 7 shared
Stracey, Muhammad
1 / 1 shared
Chart of publication period
2018
2016

Co-Authors (by relevance)

  • Ahmadi, Mohammad Reza
  • Poletti, Maria Cecilia
  • Sonderegger, Bernhard
  • Groma, István
  • Kalácska, Szilvia
  • Yubero, David Canelo
  • Dománková, Mária
  • Sommitsch, Christof
  • Béal, Coline
  • Stracey, Muhammad
OrganizationsLocationPeople

article

Modelling the creep behaviour of tempered martensitic steel based on a hybrid approach

  • Yadav, Surya Deo
  • Stracey, Muhammad
  • Poletti, Maria Cecilia
  • Sonderegger, Bernhard
Abstract

<p>In this work, we present a novel hybrid approach to describe and model the creep behaviour of tempered martensitic steels. The hybrid approach couples a physically based model with a continuum damage mechanics (CDM) model. The creep strain is modelled describing the motions of three categories of dislocations: mobile, dipole and boundary. The initial precipitate state is simulated using the thermodynamic software tool MatCalc. The particle radii and number densities are incorporated into the creep model in terms of Zener drag pressure. The Orowan's equation for creep strain rate is modified to account for tertiary creep using softening parameters related to precipitate coarsening and cavitation. For the first time the evolution of internal variables such as dislocation densities, glide velocities, effective stresses on dislocations, internal stress from the microstructure, subgrain size, pressure on subgrain boundaries and softening parameters is discussed in detail. The model is validated with experimental data of P92 steel reported in the literature.</p>

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