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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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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Multi-Objective Optimization of the Nanocavities Diffusion in Irradiated Metals4citations

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Chart of shared publication
Souidi, Abdelkader
1 / 3 shared
Debacker, Andrée
1 / 3 shared
Autissier, Emmanuel
1 / 5 shared
Becquart, Charlotte
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Haddad, Farah
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Hodille, Etienne A.
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Barthe, Marie France
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Domain, Christophe
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Genevois, Cécile
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Chart of publication period
2023

Co-Authors (by relevance)

  • Souidi, Abdelkader
  • Debacker, Andrée
  • Autissier, Emmanuel
  • Becquart, Charlotte
  • Haddad, Farah
  • Hodille, Etienne A.
  • Barthe, Marie France
  • Domain, Christophe
  • Genevois, Cécile
OrganizationsLocationPeople

document

Multi-Objective Optimization of the Nanocavities Diffusion in Irradiated Metals

  • Souidi, Abdelkader
  • Debacker, Andrée
  • Autissier, Emmanuel
  • Becquart, Charlotte
  • Haddad, Farah
  • Noce, Antonin Della
  • Hodille, Etienne A.
  • Barthe, Marie France
  • Domain, Christophe
  • Genevois, Cécile
Abstract

Materials in fission reactors or fusion tokamaks are exposed to neutron irradiation, which creates defects in the microstructure. With time, depending on the temperature, defects diffuse and form, among others, nanocavities, altering the material performance. The goal of this work is to determine the diffusion properties of the nanocavities in tungsten. We combine (i) a systematic experimental study in irradiated samples annealed at different temperatures up to 1800 K (the created nanocavities diffuse, and their coalescence is studied by transmission electron microscopy); (ii) our object kinetic Monte Carlo model of the microstructure evolution fed by a large collection of atomistic data; and (iii) a multi-objective optimization method (using model inversion) to obtain the diffusion of nanocavities, input parameters of our model, from the comparison with the experimental observations. We simplify the multi-objective function, proposing a projection into the parameter space. Non-dominated solutions are revealed: two “valleys” of minima corresponding to the nanocavities density and size objectives, respectively, which delimit the Pareto optimal solution. These “valleys” are found to be the upper and lower uncertainties on the diffusion beyond the uncertainties on the experimental and simulated results. The nanocavity diffusion can be split in three domains: the mono vacancy and small vacancy clusters, for which atomistic models are affordable, the small nanocavities for which our approach is decisive, and the nanocavities larger than 1.5 nm for which the classical surface diffusion theory is valid.

Topics
  • density
  • impedance spectroscopy
  • microstructure
  • surface
  • cluster
  • theory
  • transmission electron microscopy
  • tungsten
  • vacancy