Group Leader:
Prof., Dr. Timofeev V.I.
Stuff:
Prof., Ph.D. Moskaliuk V.O.
Ph.D. Semenovska O.V.
Ph.D. Faleeva O.M.
Ph.D. st. Fedyay A.V.
Area of research:
→ Quantum electron transport.
→ Modeling of nanostructures.
→ Physics of low-dimensional systems.
→ Solid-state physics.
→ Solid-state electronics.
→ Material science.
→ Photonics.
Recent activity:
1.
Quantum transport simulation tool for nanoscaled heterostructure with transverse transport, supplied with GUI.
2. Model of HEMT with quantum dots.
3. Self-heating analysis of HEMT and IC of reference.
Our group is engaged in modeling of modern and emerging nanodevices and nanostructures.
We are able to perform full circle works on modeling. We are starting from existing device or idea. Having its physical parameters (geometry, chemical composition and quantities of reference), further activity usually is as follows:
1. Physics. Development of the theory of operation for particular device, deduced from more general theories or methods (for example: effective mass method, Green’s function method, envelope function methods, etc.). Usually we try to deduce both simplified analytical and quantitative numerical model, yielding powerful tool for comprehensive analysis of a particular device.
2. Numerical model. Most theories for emerging devices need further transformation for numerical implementation. Selection or development of fast and stable algorithms gained in importance, while scaling down to nanometers.
3. Programming. Reduction of required numerical resources; we also try to write easy to change scripts. All of them are then testing for the problems that have analytical solutions.
4. Visualization. Selection the most representative quantities and characteristics to be visualized. The end goal of this section is supplying user with deep insight into cause-and-effect chains between input parameters and calculated quantities.
5. Verification. We don’t really like this stage, because sometimes we have to go back to the stage 1 and specify or cancel some (appeared to be rough for particular case) assumptions. Although, eventually we pass this stage, and move on being stronger due to overcomed difficulties.
6. Supplying with graphical user interface (GUI). Making our results available for wide range of scientists. With our GUI they don’t have to understand, how the model was obtained and other routine. Our model now could be viewed as a tool for simulation modeling, providing understanding the sense of phenomena, avoiding high-cost real experiments. Visualization makes such imitation very informative, and verification provide high confidence of the modeling results for a given class of devices.
It is easy to understand what do we do from the scheme below.
For more information, please, contact responsible person, Artem Fedyay:
artem.fedyay@gmail.com
Scheme of our activity:
