arXiv subjects
Publications and source records attributed to V. V. Zavalniuk.
An explicitly solvable model of sound sources detection and sound wave scattering by the lateral line of a fish or amphibian based on the theory of self-adjoint perturbations of the Laplace operator by arrays of additional boundary conditions at isolated points is proposed and discussed.
The abrupt loss of mechanical stability of two-dimensional graphene-type crystals at a certain transition temperature is described. At this temperature, the graphene state with practically zero-speed bending sound and developed bending fluctuations becomes energetically favorable. Such phenomenon, akin to melting, is naturally caused by the anharmonicity of crystal oscillations. In order to circumvent the known difficulties associated with taking into account the anharmonic effects, we propose an original pseudo-harmonic approximation, within which we determine the free energy of the anharmonic crystal and find a numerical characteristic for the intensity of bending vibrations at transition temperature. This characteristic is similar to the empiric Lindemann criterion for the melting phenomenon. At the same time, in contrast to the conventional Lindemann criterion, the found characteristic is explicitly expressed through the graphene bending moduli of the second, third, and fourth orders.
It is proved that the acoustic-type dispersion of bending mode in graphene is generated by the fluctuation interaction between in-plane and out-of-plane terms in the free energy arising with account of non-linear components in the graphene strain tensor. In doing so we use an original adiabatic approximation based on the alleged (confirmed a posteriori) significant difference of sound speeds for in-plane and bending modes. The explicit expression for the bending sound speed depending only on the graphene mass density, in-plane elastic constants and temperature is deduced as well as the characteristics of the microscopic corrugations of graphene. The obtained results are in good quantitative agreement with the data of real experiments and computer simulations.