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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Sand, Andreea E.

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Aalto University

in Cooperation with on an Cooperation-Score of 37%

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Publications (7/7 displayed)

  • 2023Microstructure of a heavily irradiated metal exposed to a spectrum of atomic recoils26citations
  • 2019Relaxation volumes of microscopic and mesoscopic irradiation-induced defects in tungsten44citations
  • 2019Atomistic-object kinetic Monte Carlo simulations of irradiation damage in tungsten18citations
  • 2018A multi-scale model for stresses, strains and swelling of reactor components under irradiation76citations
  • 2018Unusual irradiation-induced disordering in Cu3Au near the critical temperature1citations
  • 2018A model of defect cluster creation in fragmented cascades in metals based on morphological analysis17citations
  • 2018Defect structures and statistics in overlapping cascade damage in fusion-relevant bcc metals59citations

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Mason, Daniel R.
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Boleininger, Max
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Dudarev, Sergei L.
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Nguyen-Manh, Duc
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Marinica, Mihai-Cosmin
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Alexander, Rebecca
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Mason, D. R.
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Dudarev, S. L.
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Averback, Robert S.
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Luneville, L.
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Simeone, D.
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Backer, A. De
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Nordlund, Kai
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Domain, C.
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Byggmästar, Jesper
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Zitting, A.
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  • Mason, Daniel R.
  • Boleininger, Max
  • Dudarev, Sergei L.
  • Nguyen-Manh, Duc
  • Marinica, Mihai-Cosmin
  • Alexander, Rebecca
  • Mason, D. R.
  • Dudarev, S. L.
  • Ma, Pui-Wai
  • Tarleton, Edmund
  • Kirk, Marquis A.
  • Bellon, Pascal
  • Lear, Calvin Robert
  • Averback, Robert S.
  • Luneville, L.
  • Simeone, D.
  • Backer, A. De
  • Becquart, C. S.
  • Nordlund, Kai
  • Domain, C.
  • Byggmästar, Jesper
  • Zitting, A.
OrganizationsLocationPeople

article

A model of defect cluster creation in fragmented cascades in metals based on morphological analysis

  • Luneville, L.
  • Simeone, D.
  • Sand, Andreea E.
  • Backer, A. De
  • Becquart, C. S.
  • Nordlund, Kai
  • Domain, C.
Abstract

<p>The impacts of ions and neutrons in metals cause cascades of atomic collisions that expand and shrink, leaving microstructure defect debris, i.e. interstitial or vacancy clusters or loops of different sizes. In De Backer et al (2016 Europhys. Lett. 115 26001), we described a method to detect the first morphological transition, i.e. the cascade fragmentation in subcascades, and a model of primary damage combining the binary collision approximation and molecular dynamics (MD). In this paper including W, Fe, Be, Zr and 20 other metals, we demonstrate that the fragmentation energy increases with the atomic number and decreases with the atomic density following a unique power law. Above the fragmentation energy, the cascade morphology can be characterized by the cross pair correlation functions of the multitype point pattern formed by the subcascades. We derive the numbers of pairs of subcascades and observed that they follow broken power laws. The energy where the power law breaks indicates the second morphological transition when cascades are formed by branches decorated by chaplets of small subcascades. The subcascade interaction is introduced in our model of primary damage by adding pairwise terms. Using statistics obtained on hundreds of MD cascades in Fe, we demonstrate that the interaction of subcascades increases the proportion of large clusters in the damage created by high energy cascades. Finally, we predict the primary damage of 500 keV Fe ion in Fe and obtain cluster size distributions when large statistics of MD cascades arc not feasible.</p>

Topics
  • density
  • impedance spectroscopy
  • microstructure
  • cluster
  • molecular dynamics
  • interstitial
  • vacancy