Computational Materials: Difference between revisions
From Intelligent Materials and Systems Lab
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(All references in Harvard style from Google Scholar) | (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 | # 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 | ||
==Defended theses== | ==Defended theses== | ||
Revision as of 10:08, 10 April 2018
Our vision, goal and what we do
All levels from atomistic to macroscopic Ability to develop and implement new methods, if needed Capacity to conduct multi scaling
Practical applications:
- Mechanics
- CFD (turbulent & laminar)
- Heat transport
- Electric and magnetic fields
- Chemical reactions
- Acoustics
- Multiphysics combinations of these phenomena!
Projects
Active projects
Finished projects
Student projects
- To be added ....
Members
IMS Simulations Tartu group
- Vahur Zadin
- Simon Vigonski
- Heiki Kasemägi
Friends and collaborators
- Flyura Djurabekova (Helsinki University)
- Ville Jansson (Helsinki University)
- Walter Wuench (CERN)
- Daniel Brandell (Uppsala University)
Tools we use
- Comsol Multiphysics
- LAMMPS
Publications
(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
Defended theses
Masters Theses
- Kristjan Eimre
- Kristian Kuppart
- ....