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

Vittorietti, Martina

  • Google
  • 8
  • 9
  • 127

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2022A Data-Driven Approach for Studying the Influence of Carbides on Work Hardening of Steel3citations
  • 2021Microstructure–property relation and machine learning prediction of hole expansion capacity of high-strength steels9citations
  • 2021Isotonic regression for metallic microstructure data4citations
  • 2020General framework for testing Poisson-Voronoi assumption for real microstructures5citations
  • 2020Statistical analysis of the relation between metallic microstructures and mechanical propertiescitations
  • 2020The combined influence of grain size distribution and dislocation density on hardness of interstitial free steel53citations
  • 2020Influence of M23C6 carbides on the heterogeneous strain development in annealed 420 stainless steel46citations
  • 2019Accurate representation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features7citations

Places of action

Chart of shared publication
Jongbloed, Geurt
6 / 6 shared
Sietsma, Jilt
7 / 44 shared
Hidalgo, J.
3 / 9 shared
Lopez, J. Galan
1 / 1 shared
Li, Wei
4 / 6 shared
Kok, Piet J. J.
2 / 5 shared
Farahani, Hussein
1 / 2 shared
Petrov, Roumen
1 / 71 shared
Vercruysse, F.
1 / 4 shared
Chart of publication period
2022
2021
2020
2019

Co-Authors (by relevance)

  • Jongbloed, Geurt
  • Sietsma, Jilt
  • Hidalgo, J.
  • Lopez, J. Galan
  • Li, Wei
  • Kok, Piet J. J.
  • Farahani, Hussein
  • Petrov, Roumen
  • Vercruysse, F.
OrganizationsLocationPeople

article

The combined influence of grain size distribution and dislocation density on hardness of interstitial free steel

  • Jongbloed, Geurt
  • Sietsma, Jilt
  • Vittorietti, Martina
  • Li, Wei
Abstract

Understanding the relationship between microstructure features and mechanical properties is of great significance for the improvement and specific adjustment of steel properties. The relationship between mean grain size and yield strength is established by the well-known Hall-Petch equation. But due to the complexity of the grain configuration within materials, considering only the mean value is unlikely to give a complete representation of the mechanical behavior. The classical Taylor equation is often used to account for the effect of dislocation density, but not thoroughly tested in combination with grain size influence. In the present study, systematic heat treatment routes and cold rolling followed by annealing are designed for interstitial free (IF) steel to achieve ferritic microstructures that not only vary in mean grain size, but also in grain size distribution and in dislocation density, a combination that is rarely studied in the literature. Optical microscopy is applied to determine the grain size distribution. The dislocation density is determined through XRD measurements. The hardness is analyzed on its relation with the mean grain size, as well as with the grain size distribution and the dislocation density. With the help of the variable selection tool LASSO, it is shown that dislocation density, mean grain size and kurtosis of grain size distribution are the three features which most strongly affect hardness of IF steel.

Topics
  • density
  • impedance spectroscopy
  • grain
  • grain size
  • x-ray diffraction
  • strength
  • steel
  • hardness
  • dislocation
  • annealing
  • yield strength
  • cold rolling
  • optical microscopy
  • interstitial