Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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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.

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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.

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Senninger, Oriane

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Part-Scale Thermomechanical and Grain Structure Modeling for Additive Manufacturing: Status and Perspectives1citations
  • 2022Thermodynamic coupling in the computation of dendrite growth kinetics for multicomponent alloys13citations
  • 2022Three-dimensional modeling of solidification grain structures generated by laser powder bed fusion12citations
  • 2018Role of the Sink Density in Non-Equilibrium Chemical Redistribution in Binary Alloys25citations
  • 2018Special interphase orientation relationships and locked lamellar growth in thin In-In2Bi eutectics18citations
  • 2016Eutectic growth in two-phase multicomponent alloys24citations
  • 2014Atomistic simulations of the decomposition kinetics in Fe-Cr alloys: Influence of magnetism56citations

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Guillemot, Gildas
3 / 60 shared
Zhang, Yancheng
1 / 12 shared
Camus, Théophile
2 / 2 shared
Bellet, Michel
1 / 69 shared
Gandin, Charles-André
3 / 135 shared
Voorhees, Peter
1 / 2 shared
Hareland, Christopher
1 / 2 shared
Baulin, Oriane
1 / 5 shared
Maisonnette, Daniel
1 / 5 shared
Martinez, E.
2 / 12 shared
B., P. Uberuaga
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Caro, A.
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Soisson, F.
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Nastar, M.
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Faivre, Gabriel
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Bottin-Rousseau, Sabine
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Akamatsu, Silvère
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Voorhees, Peter W.
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Brechet, Y.
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Co-Authors (by relevance)

  • Guillemot, Gildas
  • Zhang, Yancheng
  • Camus, Théophile
  • Bellet, Michel
  • Gandin, Charles-André
  • Voorhees, Peter
  • Hareland, Christopher
  • Baulin, Oriane
  • Maisonnette, Daniel
  • Martinez, E.
  • B., P. Uberuaga
  • Caro, A.
  • Soisson, F.
  • Nastar, M.
  • Faivre, Gabriel
  • Bottin-Rousseau, Sabine
  • Akamatsu, Silvère
  • Voorhees, Peter W.
  • Brechet, Y.
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article

Atomistic simulations of the decomposition kinetics in Fe-Cr alloys: Influence of magnetism

  • Martinez, E.
  • Soisson, F.
  • Brechet, Y.
  • Nastar, M.
  • Senninger, Oriane
Abstract

Magnetism plays a crucial role in the thermodynamic and kinetic properties of ferritic alloys. In fact, magnetism increases the solubility limit of Cr in Fe, inducing an asymmetrical phase diagram. Moreover, the phase transition from ferromagnetic to paramagnetic (F/P) iron alloys modifies to a large extent the system response to different environmental conditions by modification of the alloy diffusion properties. Indeed, experimental tracer diffusion coefficients deviate from an Arrhenius law during the F/P magnetic transition, leading to a large increase in the paramagnetic regime compared to the extrapolated value from the ferromagnetic domain. Furthermore, as the Curie temperature decreases with the Cr concentration, this evolution of the diffusion properties affects the decomposition kinetics in different ways depending on the alloy composition. An atomic diffusion model, with pair interactions that depend on the local composition and on temperature, has been developed to take into account this magnetic transition effect. The interaction model has been implemented in an atomistic kinetic Monte Carlo algorithm to study the diffusion coefficients and precipitation kinetics of the Fe Cr alloys. This model has been successfully compared to decomposition kinetic experiments for a wide range of concentrations and temperatures.

Topics
  • phase
  • experiment
  • simulation
  • phase transition
  • precipitation
  • iron
  • phase diagram
  • decomposition
  • alloy composition
  • Curie temperature
  • iron alloy