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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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2024Effect of radiation defects on the early stages of nanoindentation tests in bcc Fe and Fe-Cr alloys5citations
  • 2022Effect of radiation defects on the early stages of nanoindentation tests in bcc Fe and Fe-Cr alloys5citations
  • 2021Nano-vault architecture mitigates stress in silicon-based anodes for lithium-ion batteries17citations
  • 2018Migration barriers for surface diffusion on a rigid lattice : Challenges and solutions24citations
  • 2018Migration barriers for surface diffusion on a rigid lattice24citations
  • 2017Thermal Oxidation of Size-Selected Pd Nanoparticles Supported on CuO Nanowires28citations
  • 2015Surface segregation in chromium-doped NiCr alloy nanoparticles and its effect on their magnetic behavior43citations

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Chart of shared publication
Castin, Nicolas
2 / 6 shared
Bakaev, Alexander
2 / 12 shared
Golikov, Igor G.
2 / 2 shared
Bonny, Giovanni
2 / 11 shared
Nordlund, Kai
5 / 54 shared
Terentyev, Dmitry
2 / 18 shared
Kvashin, Nikolai
2 / 4 shared
Kuronen, Antti
3 / 14 shared
Bakaev, Viktor A.
2 / 2 shared
Juarez-Perez, Emilio J.
1 / 8 shared
Djurabekova, Flyura
2 / 11 shared
Kumar, Pawan
1 / 17 shared
Ziadi, Zakaria
1 / 1 shared
Koutsogiannis, Panagiotis
1 / 6 shared
Sowwan, Mukhles
3 / 6 shared
Singh, Vidyadhar
3 / 7 shared
Haro, Marta
1 / 11 shared
Bouloumis, Theodoros
1 / 1 shared
Toulkeridou, Evropi
1 / 3 shared
Grammatikopoulos, Panagiotis
3 / 6 shared
Porkovich, Alexander James
1 / 1 shared
Vigonski, Simon
2 / 7 shared
Baibuz, Ekaterina
2 / 7 shared
Jansson, Ville
2 / 9 shared
Lahtinen, Jyri
2 / 2 shared
Zadin, Vahur
2 / 11 shared
Djurabekova, Flyura Gatifovna
3 / 37 shared
Kioseoglou, Joseph
1 / 7 shared
Steinhauer, Stephan
1 / 2 shared
Pavloudis, Theodore
1 / 1 shared
Bobo, Jean-François
1 / 8 shared
Bohra, Murtaza
1 / 9 shared
Diaz, Rosa E.
1 / 7 shared
Chart of publication period
2024
2022
2021
2018
2017
2015

Co-Authors (by relevance)

  • Castin, Nicolas
  • Bakaev, Alexander
  • Golikov, Igor G.
  • Bonny, Giovanni
  • Nordlund, Kai
  • Terentyev, Dmitry
  • Kvashin, Nikolai
  • Kuronen, Antti
  • Bakaev, Viktor A.
  • Juarez-Perez, Emilio J.
  • Djurabekova, Flyura
  • Kumar, Pawan
  • Ziadi, Zakaria
  • Koutsogiannis, Panagiotis
  • Sowwan, Mukhles
  • Singh, Vidyadhar
  • Haro, Marta
  • Bouloumis, Theodoros
  • Toulkeridou, Evropi
  • Grammatikopoulos, Panagiotis
  • Porkovich, Alexander James
  • Vigonski, Simon
  • Baibuz, Ekaterina
  • Jansson, Ville
  • Lahtinen, Jyri
  • Zadin, Vahur
  • Djurabekova, Flyura Gatifovna
  • Kioseoglou, Joseph
  • Steinhauer, Stephan
  • Pavloudis, Theodore
  • Bobo, Jean-François
  • Bohra, Murtaza
  • Diaz, Rosa E.
OrganizationsLocationPeople

article

Migration barriers for surface diffusion on a rigid lattice

  • Vigonski, Simon
  • Djurabekova, Flyura Gatifovna
  • Baibuz, Ekaterina
  • Jansson, Ville
  • Lahtinen, Jyri
  • Zadin, Vahur
  • Zhao, Junlei
Abstract

tomistic rigid lattice Kinetic Monte Carlo is an efficient method for simulating nano-objects and surfaces at timescales much longer than those accessible by molecular dynamics. A laborious part of constructing any Kinetic Monte Carlo model is, however, to calculate all migration barriers that are needed to give the probabilities for any atom jump event to occur in the simulations. One of the common methods of barrier calculations is Nudged Elastic Band. The number of barriers needed to fully describe simulated systems is typically between hundreds of thousands and millions. Calculations of such a large number of barriers of various processes is far from trivial. In this paper, we will discuss the challenges arising during barriers calculations on a surface and present a systematic and reliable tethering force approach to construct a rigid lattice barrier parameterization of face-centred and body-centred cubic metal lattices. We have produced several different barrier sets for Cu and for Fe that can be used for KMC simulations of processes on arbitrarily rough surfaces. The sets are published as Data in Brief articles and available for the use.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • molecular dynamics