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Ekaterina Baibuz
Ekaterina Baibuz
Adresse e-mail validée de helsinki.fi
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Année
The compact linear collider (CLIC)-2018 summary report
T CLIC, TK Charles, PJ Giansiracusa, TG Lucas, RP Rassool, M Volpi, ...
arXiv preprint arXiv:1812.06018, 2018
1592018
Formation mechanism of Fe nanocubes by magnetron sputtering inert gas condensation
J Zhao, E Baibuz, J Vernieres, P Grammatikopoulos, V Jansson, M Nagel, ...
ACS nano 10 (4), 4684-4694, 2016
1122016
Long-term stability of Cu surface nanotips
V Jansson, E Baibuz, F Djurabekova
Nanotechnology 27 (26), 265708, 2016
392016
Au nanowire junction breakup through surface atom diffusion
S Vigonski, V Jansson, S Vlassov, B Polyakov, E Baibuz, S Oras, ...
Nanotechnology 29 (1), 015704, 2017
382017
Updated baseline for a staged Compact Linear Collider
T CLIC, MJ Boland, U Felzmann, PJ Giansiracusa, TG Lucas, RP Rassool, ...
arXiv preprint arXiv:1608.07537, 2016
312016
Migration barriers for surface diffusion on a rigid lattice: challenges and solutions
E Baibuz, S Vigonski, J Lahtinen, J Zhao, V Jansson, V Zadin, ...
Computational Materials Science 146, 287-302, 2018
262018
Growth mechanism for nanotips in high electric fields
V Jansson, E Baibuz, A Kyritsakis, S Vigonski, V Zadin, S Parviainen, ...
Nanotechnology 31 (35), 355301, 2020
252020
Atomistic behavior of metal surfaces under high electric fields
A Kyritsakis, E Baibuz, V Jansson, F Djurabekova
Physical Review B 99 (20), 205418, 2019
222019
Application of artificial neural networks for rigid lattice kinetic Monte Carlo studies of Cu surface diffusion
J Kimari, V Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ...
Computational Materials Science 183, 109789, 2020
112020
Tungsten migration energy barriers for surface diffusion: a parameterization for KMC simulations
V Jansson, A Kyritsakis, S Vigonski, E Baibuz, V Zadin, A Aabloo, ...
Modelling and Simulation in Materials Science and Engineering 28 (3), 035011, 2020
52020
ACS Nano 10, 4684 (2016)
J Zhao, E Baibuz, J Vernieres, P Grammatikopoulos, V Jansson, M Nagel, ...
5
Data sets of migration barriers for atomistic Kinetic Monte Carlo simulations of Cu self-diffusion via first nearest neighbour atomic jumps
E Baibuz, S Vigonski, J Lahtinen, J Zhao, V Jansson, V Zadin, ...
Data in brief 17, 739-743, 2018
42018
Polarization characteristics of adatoms self-diffusing on metal surfaces under high electric fields
E Baibuz, A Kyritsakis, V Jansson, F Djurabekova
arXiv preprint arXiv:2201.03460, 2022
32022
Adatom diffusion in high electric fields
V Jansson, E Baibuz, A Kyritsakis, F Djurabekova
2017 30th International Vacuum Nanoelectronics Conference (IVNC), 40-41, 2017
32017
Data sets and trained neural networks for Cu migration barriers
J Kimari, V Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ...
Data in Brief 32, 106094, 2020
22020
Data sets of migration barriers for atomistic Kinetic Monte Carlo simulations of Fe self-diffusion
E Baibuz, S Vigonski, J Lahtinen, J Zhao, V Jansson, V Zadin, ...
Data in brief 19, 564-569, 2018
22018
Data sets and trained neural networks for Cu migration barriers
J Lahtinen, V Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ...
arXiv, arXiv: 1806.03062, 2018
12018
Artificial neural networks for Cu surface diffusion studies
J Lahtinen, V Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ...
ArXiv e-prints, 2018
12018
High Electric Field Effects in Atomistic Modelling of Self-Diffusion on Metal Surfaces
E Baibuz
Helsingin yliopisto, 2023
2023
Artificial neural networks for Cu surface diffusion studies
JK Kimari, VBC Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ...
Computational Materials Science, 2018
2018
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