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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Eindhoven University of Technology

in Cooperation with on an Cooperation-Score of 37%

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Publications (4/4 displayed)

  • 2023Biased self-diffusion on Cu surface due to electric field gradients3citations
  • 2023Nanomagnetic Elastomers for Realizing Highly Responsive Micro- and Nanosystems2citations
  • 2023Nanomagnetic Elastomers for Realizing Highly Responsive Micro- and Nanosystems2citations
  • 2022Biased self-diffusion on Cu surface due to electric field gradients3citations

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Kyritsakis, Andreas
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Kimari, Jyri Kalevi
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Den Toonder, Jaap M. J.
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Venkataramanachar, Bhavana
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Ul Islam, Tanveer
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Co-Authors (by relevance)

  • Kyritsakis, Andreas
  • Kimari, Jyri Kalevi
  • Djurabekova, Flyura
  • Zadin, Veronika
  • Den Toonder, Jaap M. J.
  • Li, Jianing
  • Islam, Tanveer Ul
  • Venkataramanachar, Bhavana
  • Ul Islam, Tanveer
  • Djurabekova, Flyura Gatifovna
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article

Biased self-diffusion on Cu surface due to electric field gradients

  • Kyritsakis, Andreas
  • Djurabekova, Flyura Gatifovna
  • Kimari, Jyri Kalevi
  • Zadin, Veronika
  • Wang, Ye
Abstract

Under strong electric fields, an arc of strong current flowing through plasma can link two metal surfaces even in ultra high vacuum. Despite decades of research, the chain of events leading to vacuum arc breakdowns is hitherto unknown. Previously we showed that a tall and sharp Cu nanotip exposed to strong electric fields heats up by field emission currents and eventually melts, evaporating neutral atoms that can contribute to plasma buildup. In this work, we investigate by means of molecular dynamics (MD) simulations whether surface diffusion biased by the presence of an electric field gradient can provide sufficient mass transport of atoms toward the top of the nanotip to maintain supply of neutrals for feeding plasma. To reach the necessary timescales and to add electric field in MD, we utilized a novel combination of collective variable-driven hyperdynamics acceleration and coupling to a finite element mesh. In our simulations, we observed biased self-diffusion on Cu surfaces, that can contribute to the continuous replenishment of particle-emitting nanotips. This mechanism implies a need to reduce the rate of surface diffusion in devices that are susceptible to vacuum arcs. Finding suitable alloys or surface treatments that hinder the observed biased diffusion could guide the design of future devices, and greatly improve their efficiency.

Topics
  • impedance spectroscopy
  • surface
  • simulation
  • melt
  • molecular dynamics