Leading Programmer M.M. Slepchenkov - the owner of the grant of the President of the Russian Federation for candidates of science

The Council on grants of the President of the Russian Federation this week summed up the results of the 2019 competition in state support of young Russian Candidate scientists. Among the winning projects in the field of knowledge "Physics and Astronomy" is the project of the associate professor of the Department of Radio Engineering and Electrodynamics and the leading programmer of the department of mathematical modeling M.M. Slepchenkova. The theme of the project is “Vertical heterostructures based on graphene and monolayers of dielectric and semiconductor graphene-like materials for creating the elemental base of nano- and optoelectronics devices”. The project is dedicated to the search for new combinations of layers of graphene and graphene-like materials with metallic, semiconductor and dielectric properties as part of vertical heterostructures with tunable electrically conductive, optical and optoelectronic characteristics. Using computer simulation methods, it is planned to assess the possibility of creating vertical heterostructures such as metal-dielectric, metal-semiconductor, metal-dielectric-semiconductor, semiconductor-dielectric-semiconductor, and semiconductor heterostructures based on graphene and new representatives of graphene-like 2D materials and to study the prospects for using obtained heterostructures to create an electronic component base of nano-and optoelectronics devices. On the basis of the obtained results of numerical experiments, a database of electrical, optical and optoelectronic parameters of the obtained vertical heterostructures will be compiled, taking into account the peculiarities of their topology and electronic structure.

M.M. Slepchenkov represents the research team of Professor Olga Glukhova, under whose leadership he defended his thesis for the degree of Candidate of Science in 2013. In the framework of the supported project MM. Slepchenkov will carry out the development of the dissertation research topic.

Predictive multiscale modeling in life sciences and sphere of high technologies