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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Kozubski, Rafal

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Jagiellonian University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2022Atomic migration and ordering phenomena in bulk and thin films of FePd and FePtcitations
  • 2019Self-Diffusion in a Triple-Defect A-B Binary System: Monte Carlo simulationcitations
  • 2010Atomic ordering in nano-layered FePt: Multiscale Monte Carlo simulation4citations

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Co-Authors (by relevance)

  • Kozłowski, Mirosław
  • Pierron-Bohnes, Véronique
  • Issro, Chaisak
  • Zapała, Kinga
  • Partyka, Ewa
  • Pfeiler, Wolfgang
  • Rennhofer, Marcus
  • Pierron-Bohnes, V.
  • Goyhenex, C.
  • Wrobel, Agnieszka
  • Rennhofer, M.
  • Kozlowski, M.
  • Malinov, Savko
  • Wejrzanowski, T.
  • Kurzydlowski, K. J.
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document

Self-Diffusion in a Triple-Defect A-B Binary System: Monte Carlo simulation

  • Kozubski, Rafal
Abstract

In this comprehensive and detailed study, vacancy-mediated self-diffusion of A- and B-elements in 'triple-defect' B2-ordered ASB(1-S) binaries is simulated by means of a kinetic Monte Carlo (KMC) algorithm involving atomic jumps to nearest-neighbour (nn) and next-nearest-neighbour (nnn) vacancies. The systems are modelled with an Ising-type Hamiltonian with nn and nnn pair interactions complete with migration barriers dependent on local configurations. Self-diffusion is simulated at equilibrium and temperature-dependent vacancy concentrations are generated by means of a Semi Grand Canonical MC (SGCMC) code. The KMC simulations reproduced the phenomena observed experimentally in Ni-Al intermetallics being typical representatives of the 'triple-defect' binaries. In particular, they yielded the characteristic 'V'-shapes of the isothermal concentration dependencies of A- and B-atom diffusivities, as well as the strong enhancement of the B-atom diffusivity in B-rich systems. The atomistic origins of the phenomenon, as well as other features of the simulated self-diffusion such as temperature and composition dependences of tracer correlation factors and activation energies are analyzed in depth in terms of a number of nanoscopic parameters that are able to be tuned and monitored exclusively with atomistic simulations. The roles of equilibrium and kinetic factors in the generation of the observed features are clearly distinguished and elucidated.

Topics
  • impedance spectroscopy
  • simulation
  • activation
  • intermetallic
  • diffusivity
  • vacancy