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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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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Naji, M.
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Kyritsakis, Andreas

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University of Tartu

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Polarization characteristics and structural modifications of Cu nanoparticles under high electric fieldscitations
  • 2023Biased self-diffusion on Cu surface due to electric field gradients3citations
  • 2023Critical review on experimental and theoretical studies of elastic properties of wurtzite-structured ZnO nanowires13citations
  • 2022Thermal, Mechanical, and Acoustic Properties of Polydimethylsiloxane Filled with Hollow Glass Microspheres11citations
  • 2022Biased self-diffusion on Cu surface due to electric field gradients3citations
  • 2020Tungsten migration energy barriers for surface diffusion5citations
  • 2019Ab initio calculation of field emission from metal surfaces with atomic-scale defects15citations
  • 2016Atomistic modeling of metal surfaces under high electric fields3citations
  • 2016Effects of control oxide material on the charging times of metal nanoparticles inside non-volatile memoriescitations
  • 2016Extension of the general thermal field equation for nanosized emitters40citations

Places of action

Chart of shared publication
Zadin, Veronika
5 / 6 shared
Wang, Ye
1 / 1 shared
Kimari, Jyri Kalevi
2 / 2 shared
Djurabekova, Flyura
1 / 11 shared
Wang, Ye
2 / 4 shared
Vahtrus, Mikk
1 / 1 shared
Bocharov, Dmitry
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Polyakov, Boris
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Oras, Sven
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Vlassov, Sergei
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Šutka, Andris
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Dorogin, Leonid
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Timusk, Martin
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Tiirats, Tauno
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Sosnin, Ilya M.
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Linarts, Artis
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Lõhmus, Rünno
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Djurabekova, Flyura Gatifovna
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Vigonski, Simon
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Baibuz, Ekaterina
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Jansson, Ville
1 / 9 shared
Zadin, Vahur
3 / 11 shared
Aabloo, Alvo
1 / 8 shared
Toijala, H.
1 / 1 shared
Eimre, K.
1 / 3 shared
Veske, Mihkel
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Aare, Robert
1 / 1 shared
Eimre, Kristjan
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Anastasopoulos, A.
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Xanthakis, J. P.
2 / 2 shared
Beniakar, M.
1 / 1 shared
Chart of publication period
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Co-Authors (by relevance)

  • Zadin, Veronika
  • Wang, Ye
  • Kimari, Jyri Kalevi
  • Djurabekova, Flyura
  • Wang, Ye
  • Vahtrus, Mikk
  • Bocharov, Dmitry
  • Polyakov, Boris
  • Oras, Sven
  • Vlassov, Sergei
  • Šutka, Andris
  • Dorogin, Leonid
  • Timusk, Martin
  • Tiirats, Tauno
  • Sosnin, Ilya M.
  • Linarts, Artis
  • Lõhmus, Rünno
  • Djurabekova, Flyura Gatifovna
  • Vigonski, Simon
  • Baibuz, Ekaterina
  • Jansson, Ville
  • Zadin, Vahur
  • Aabloo, Alvo
  • Toijala, H.
  • Eimre, K.
  • Veske, Mihkel
  • Aare, Robert
  • Eimre, Kristjan
  • Anastasopoulos, A.
  • Xanthakis, J. P.
  • Beniakar, M.
OrganizationsLocationPeople

document

Atomistic modeling of metal surfaces under high electric fields

  • Kyritsakis, Andreas
  • Djurabekova, Flyura Gatifovna
  • Veske, Mihkel
  • Zadin, Vahur
  • Aare, Robert
  • Eimre, Kristjan
Abstract

<p>We propose a novel tool to perform electrodynamics-molecular dynamics and electrodynamics-kinetic Monte Carlo simulations. The tool generates finite elements in-and outside the atomistic domain, uses them to solve a system of linear differential equations and offers the interface to output the results into atomistic simulations. The tool shows high tolerance against crystallographic orientation in the material and robustness against dynamic atomistic processes there.</p>

Topics
  • surface
  • simulation
  • molecular dynamics