Computational Materials: Difference between revisions

Revision as of 10:43, 10 April 2018

Simulations heat and mechanicals stress of FCC metal in multiscale framework.

All levels from atomistic to macroscopic Ability to develop and implement new methods, if needed Capacity to conduct multi scaling

Practical applications:

IMS Simulations Tartu group

Friends and collaborators

(All references in Harvard style from Google Scholar)

Baibuz, E., Vigonski, S., Lahtinen, J., Zhao, J., Jansson, V., Zadin, V. and Djurabekova, F., 2018. Data sets of migration barriers for atomistic Kinetic Monte Carlo simulations of Cu self-diffusion via first nearest neighbour atomic jumps. Data in Brief, 17, pp.739-743
Zadin, V., Veske, M., Vigonski, S., Jansson, V., Muszynski, J., Parviainen, S., Aabloo, A. and Djurabekova, F., 2018. Simulations of surface stress effects in nanoscale single crystals. Modelling and Simulation in Materials Science and Engineering.
Metspalu, T., Jansson, V., Zadin, V., Avchaciov, K., Nordlund, K., Aabloo, A. and Djurabekova, F., 2018. Cu self-sputtering MD simulations for 0.1–5 keV ions at elevated temperatures. Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 415, pp.31-40.
Vigonski, S., Jansson, V., Vlassov, S., Polyakov, B., Baibuz, E., Oras, S., Aabloo, A., Djurabekova, F. and Zadin, V., 2017. Au nanowire junction breakup through surface atom diffusion. Nanotechnology, 29(1), p.015704.

@@ Line 14: / Line 14: @@
 *Acoustics
 *Multiphysics combinations of these phenomena!
+{{clear}}
 == Projects ==