Registration Number
0220U100933,
0119U100341
, R & D reports
Title
Coherent correlation processes in multiparticle environments and large distributed physical and biological systems.
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Head
Висоцький Володимир Іванович,
Registration Date
29-01-2020
Organization
Taras Shevchenko National University of Kyiv
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Object of study: Solid state, liquid and gas systems. Multicomponent mixtures. Features of dynamic processes and characteristics in complex biological non-locally coupled systems.
Purpose: To develop theoretical models and methods for optimal formation of coherent correlated states in specific physical systems, taking into account anomalous energy and time characteristics of these states.
Development of the theory of multicomponent surface diffusion and diffusion at the contacts of solids. Development of new physical methods and theories in the field of medical diagnostic introscopy.
Research methods: theoretical analysis of nuclear-physical systems, complex biological systems, transport phenomena in molecular fluids, introscopic methods for diagnostic application.
The method of quantitative compatible analysis of the energy and time characteristics of a coherently correlated particle state is first substantiated, and the expression obtained for the corresponding correlation efficiency coefficient is obtained. This result substantiates such fundamental characteristics of these states as the simultaneous very high probability of tunneling effect with the possibility of efficient nuclear synthesis at low energy, the complete absence of radioactive daughter isotopes in such processes, and the very significant suppression of concomitant gamma radiation.
The theory of interdiffusion, in particular, diffusion at the solids contacts and multicomponent surface diffusion, has been developed. It is shown that the diffusion effect is fluctuating in nature. Within the lattice gas, the mechanism of mass transfer of adsorbed atoms and molecules is described.
Methods and tools have been developed for determining the parameters of frequency clusters of solitary states based on signals obtained from complex nonlocally coupled dynamic systems, such as biological neural networks.
Product Description
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Vysozkyj Volodymyr І.
Vysozkyj Myhajlo V.
Lemeshko Vasyl V.
Nagylak Oleg O.
Netreba Аndriy V.
Оbuhovskiy V'yacheslav V.
Radchenko Sergiy M.
Sudakov Oleksandr O.
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2020-04-02
