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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University of Helsinki

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2020Application of artificial neural networks for rigid lattice kinetic Monte Carlo studies of Cu surface diffusion11citations
  • 2020Tungsten migration energy barriers for surface diffusion5citations
  • 2019Au nanowire junction breakup through surface atom diffusion39citations
  • 2018Simulations of surface stress effects in nanoscale single crystals4citations
  • 2018Migration barriers for surface diffusion on a rigid lattice : Challenges and solutions24citations
  • 2018Migration barriers for surface diffusion on a rigid lattice24citations
  • 2018Au nanowire junction breakup through surface atom diffusion39citations
  • 2016Long-term stability of Cu surface nanotips28citations
  • 2011Interaction of Carbon with Vacancy and Self-Interstitial Atom Clusters in [alpha]-Iron Studied using Metallic-Covalent Interatomic Potential56citations

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Chart of shared publication
Vigonski, Simon
7 / 7 shared
Djurabekova, Flyura Gatifovna
6 / 37 shared
Domingos, Roberto
1 / 1 shared
Baibuz, Ekaterina
7 / 7 shared
Kimari, Jyri
1 / 1 shared
Zadin, Vahur
7 / 11 shared
Kyritsakis, Andreas
1 / 10 shared
Aabloo, Alvo
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Djurabekova, Flyura
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Polyakov, Boris
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Vlassov, Sergei
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Parviainen, Stefan
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Muszynski, Johann
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Lahtinen, Jyri
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Zhao, Junlei
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Serra, Anna
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Bonny, Giovanni
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Terentyev, Dmitry
1 / 18 shared
Anento, Napoleon
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Khater, Hassan
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Co-Authors (by relevance)

  • Vigonski, Simon
  • Djurabekova, Flyura Gatifovna
  • Domingos, Roberto
  • Baibuz, Ekaterina
  • Kimari, Jyri
  • Zadin, Vahur
  • Kyritsakis, Andreas
  • Aabloo, Alvo
  • Djurabekova, Flyura
  • Polyakov, Boris
  • Oras, Sven
  • Vlassov, Sergei
  • Veske, Mihkel
  • Parviainen, Stefan
  • Muszynski, Johann
  • Lahtinen, Jyri
  • Zhao, Junlei
  • Serra, Anna
  • Bonny, Giovanni
  • Terentyev, Dmitry
  • Anento, Napoleon
  • Khater, Hassan
OrganizationsLocationPeople

article

Long-term stability of Cu surface nanotips

  • Djurabekova, Flyura Gatifovna
  • Baibuz, Ekaterina
  • Jansson, Ville
Abstract

<p>Sharp nanoscale tips on the metal surfaces of electrodes enhance locally applied electric fields. Strongly enhanced electric fields trigger electron field emission and atom evaporation from the apexes of nanotips. Together, these processes may explain electric discharges in the form of small local arcs observed near metal surfaces in the presence of electric fields, even in ultra-high vacuum conditions. In the present work, we investigate the stability of nanoscale tips by means of computer simulations of surface diffusion processes on copper, the main material used in high-voltage electronics. We study the stability and lifetime of thin copper (Cu) surface nanotips at different temperatures in terms of diffusion processes. For this purpose we have developed a surface kinetic Monte Carlo (KMC) model where the jump processes are described by tabulated precalculated energy barriers. We show that tall surface features with high aspect ratios can be fairly stable at room temperature. However, the stability was found to depend strongly on the temperature: 13 nm nanotips with the major axes in the &lt;110 &gt; crystallographic directions were found to flatten down to half of the original height in less than 100 ns at temperatures close to the melting point, whereas no significant change in the height of these nanotips was observed after 10 mu s at room temperature. Moreover, the nanotips built up along the &lt;110 &gt; crystallographic directions were found to be significantly more stable than those oriented in the &lt;100 &gt; or &lt;111 &gt; crystallographic directions. The proposed KMC model has been found to be well-suited for simulating atomic surface processes and was validated against molecular dynamics simulation results via the comparison of the flattening times obtained by both methods. We also note that the KMC simulations were two orders of magnitude computationally faster than the corresponding molecular dynamics calculations.</p>

Topics
  • surface
  • simulation
  • molecular dynamics
  • laser emission spectroscopy
  • copper
  • evaporation