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 | 184 | 2018 |
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 | 120 | 2016 |
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 | 42 | 2017 |
Long-term stability of Cu surface nanotips V Jansson, E Baibuz, F Djurabekova Nanotechnology 27 (26), 265708, 2016 | 39 | 2016 |
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 | 37 | 2016 |
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 | 27 | 2020 |
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 | 26 | 2018 |
Atomistic behavior of metal surfaces under high electric fields A Kyritsakis, E Baibuz, V Jansson, F Djurabekova Physical Review B 99 (20), 205418, 2019 | 24 | 2019 |
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 | 11 | 2020 |
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 | 5 | 2020 |
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 | 4 | 2018 |
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 | 3 | 2022 |
Adatom diffusion in high electric fields V Jansson, E Baibuz, A Kyritsakis, F Djurabekova 2017 30th International Vacuum Nanoelectronics Conference (IVNC), 40-41, 2017 | 3 | 2017 |
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 | 2 | 2020 |
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 | 2 | 2018 |
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 | 1 | 2018 |
Artificial neural networks for Cu surface diffusion studies J Lahtinen, V Jansson, S Vigonski, E Baibuz, R Domingos, V Zadin, ... ArXiv e-prints, 2018 | 1 | 2018 |
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 |
Building a science communications platform: A recipe from The Science Basement C Facciotto, E Baibuz Hindawi Blog, 2018 | | 2018 |