This lecture/hands-on course provides an introduction to computer simulation methods in statistical physics. The course targets both bachelor and master students familiar with statistical mechanics.
The course introduces advanced tools and techniques for performing computer simulations. It is a follow up of the introductory course on “Computer Simulations techniques in Statistical Physics”. Familiarity with basic simulation techniques (molecular dynamics or Monte Carlo simulations) is recommended to attend the course.
The course covers central concepts of soft matter materials (liquid crystals, plastic, and membranes) such as symmetry breaking, phase transitions, cooperativity, scaling, and coarse-graining.
This lecture provides theoretical grounds for understanding charge and energy transfer/transport processes in organic semiconductors. The relevance for the design of light emitting diodes, solar cells, and field effect transistors is outlined.
Course of statistical mechanics for master students. Covers enesembles, statistics, equilibrium and non-eqilibrium dynamics, thermodynamics, phenomelnological description of phase transitions, critical phenomena.
This course is an introduction to liquid crystalline mesophases. It includes a brief overview of the textures, elastic and mean-field theories, response to external fields, basic optical properties, and some applications of liquid crystalline materials.