Computational Materials: Difference between revisions

From Intelligent Materials and Systems Lab

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== Our vision, goal and what we do ==
== 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 ==
== Projects ==

Revision as of 09:21, 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

  • Kristjan Eimre
  • Kristian Kuppart
  • ....