Monte Carlo methods
Simulation of magnetic nanosystems
- Ph.D. student
- Assistant in Department of Computer Systems, Far Eastern Federal University
- Researcher in Institute of Applied Mathematics, Far Eastern Branch of Russian Academy of Sciences
Investigation of phenomena of geometrically frustrated systems by using supercomputer simulations with applying parallel Monte-Carlo algorithms for calculation of statistical thermodynamic properties of magnetic systems.
In June of 2017, I defended Ph.D. thesis titled “Thermodynamic properties of frustrated spin systems”. As main theses:
- I proposed and justified the order parameter for square spin ice systems;
- proved the lack of phase transition for short-range interacting dipolar model of square, kagome and shakti spin ice lattices, comparing in with infinite-range interactions;
- elucidated the reasons of non-linear behavior of residual entropy as function of dilution concentration for antiferromagnetic Ising spins on pyrochlore, kagome and triangular lattices.