Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Vigonski, Simon"'
Autor:
Jansson, Ville, Baibuz, Ekaterina, Kyritsakis, Andreas, Vigonski, Simon, Zadin, Vahur, Parviainen, Stefan, Aabloo, Alvo, Djurabekova, Flyura
Publikováno v:
Nanotechnology 31 355301 (2020)
In this work we show using atomistic simulations that the biased diffusion in high electric field gradients creates a mechanism whereby nanotips may start growing from small surface asperities. It has long been known that atoms on a metallic surface
Externí odkaz:
http://arxiv.org/abs/1909.05825
Autor:
Jansson, Ville, Kyritsakis, Andreas, Vigonski, Simon, Baibuz, Ekaterina, Zadin, Vahur, Aabloo, Alvo, Djurabekova, Flyura
Publikováno v:
Modelling Simul. Mater. Sci. Eng. 28 035011 (2020)
We have calculated the migration barriers for surface diffusion on Tungsten. Our results form a self-sufficient parameterization for Kinetic Monte Carlo simulations of arbitrarily rough atomic tungsten surfaces, as well as nanostructures such as nano
Externí odkaz:
http://arxiv.org/abs/1909.03519
Autor:
Kimari, Jyri, Jansson, Ville, Vigonski, Simon, Baibuz, Ekaterina, Domingos, Roberto, Zadin, Vahur, Djurabekova, Flyura
Publikováno v:
Data in Brief 32, 106094 (2020)
Kinetic Monte Carlo (KMC) is an efficient method for studying diffusion. A limiting factor to the accuracy of KMC is the number of different migration events allowed in the simulation. Each event requires its own migration energy barrier. The calcula
Externí odkaz:
http://arxiv.org/abs/1806.03062
Autor:
Kimari, Jyri, Jansson, Ville, Vigonski, Simon, Baibuz, Ekaterina, Domingos, Roberto, Zadin, Vahur, Djurabekova, Flyura
Publikováno v:
Computational Materials Science 183, 109789 (2020)
Kinetic Monte Carlo (KMC) is a powerful method for simulation of diffusion processes in various systems. The accuracy of the method, however, relies on the extent of details used for the parameterization of the model. Migration barriers are often use
Externí odkaz:
http://arxiv.org/abs/1806.02976
Vacuum breakdowns in particle accelerators and other devices operating at high electric fields is a common problem in the operation of these devices. It has been proposed that the onset of vacuum breakdowns is associated with appearance of surface pr
Externí odkaz:
http://arxiv.org/abs/1805.10895
Autor:
Vigonski, Simon, Jansson, Ville, Vlassov, Sergei, Polyakov, Boris, Baibuz, Ekaterina, Oras, Sven, Aabloo, Alvo, Djurabekova, Flyura, Zadin, Vahur
Publikováno v:
Simon Vigonski et al 2018 Nanotechnology 29 015704
Metallic nanowires are known to break into shorter fragments due to the Rayleigh instability mechanism. This process is strongly accelerated at elevated temperatures and can completely hinder the functioning of nanowire-based devices like e.g. transp
Externí odkaz:
http://arxiv.org/abs/1709.09104
Autor:
Zadin, Vahur, Veske, Mihkel, Vigonski, Simon, Jansson, Ville, Muszinsky, Johann, Parviainen, Stefan, Aabloo, Aalvo, Djurabekova, Flyura
Onset of vacuum arcing near a metal surface is often associated with nanoscale asperities, which may dynamically appear due to different processes ongoing in the surface and subsurface layers in the presence of high electric fields. Thermally activat
Externí odkaz:
http://arxiv.org/abs/1708.05189
Autor:
Baibuz, Ekaterina, Vigonski, Simon, Lahtinen, Jyri, Zhao, Junlei, Jansson, Ville, Zadin, Vahur, Djurabekova, Flyura
Publikováno v:
Computational Materials Science, Volume 146, 15 April 2018, Pages 287-302
Atomistic 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, howe
Externí odkaz:
http://arxiv.org/abs/1707.05765
Autor:
Kimari, Jyri, Jansson, Ville, Vigonski, Simon, Baibuz, Ekaterina, Domingos, Roberto, Zadin, Vahur, Djurabekova, Flyura
Publikováno v:
In Computational Materials Science October 2020 183
Autor:
Baibuz, Ekaterina, Vigonski, Simon, Lahtinen, Jyri, Zhao, Junlei, Jansson, Ville, Zadin, Vahur, Djurabekova, Flyura
Publikováno v:
In Computational Materials Science 15 April 2018 146:287-302