Employees of the Department of Radio Engineering and Electrodynamics and the Department of Mathematical Modeling prepared a monograph

Publishing office "Ruscience" (Moscow) published a monograph "Graphene-nanotube composites: mathematical modeling", prepared by employees of the Department of Radio Engineering and Electrodynamics and the Department of Mathematical Modeling of SSU. The monograph presents the results of theoretical prediction by mathematical modeling of the physical properties of promising carbon nanomaterials - graphene, carbon nanotubes, glassy carbon, as well as composites based on them. Topical issues of fundamental science are considered, such as the control of electrical conductivity and its anisotropy in porous graphene-nanotube thin layered films with vertically oriented nanotubes; control of electronic properties of nanoporous graphene-nanotube composites: planar layered/3D-column graphene and film/3D-glass-like carbon; electron tunneling between two graphene sheets; absorption of terahertz radiation in asymmetric hyperbolic metamaterials based on graphene, the use of columnar graphene with vertically oriented carbon nanotubes as a biological element of DNA recognition. The results obtained indicate that the studied nanocomposites will soon become an integral element base of such devices as transistors, biosensors, and will also act as radio absorbing materials and storage devices.

The monograph was prepared as part of the state task of the Ministry of Education and Science FSRR-2020-0004 "Topological control of the electronic and optoelectronic properties of graphene-nanotube composite materials" (Head - Doctor of Physical and Mathematical Sciences, Professor, Head of the Department of Radio Engineering and Electrodynamics O.E. Glukhova).

The publishing house "Ruscience" is one of the ten largest publishing office in Russia in the production of textbooks for secondary and higher schools, and is also part of the publishing group "Knorus", which is the Russian leader in the market of educational literature.

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Predictive multiscale modeling in life sciences and sphere of high technologies