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R. D. Smirnov

Publications and source records attributed to R. D. Smirnov.

4 recordsLinked to original sources
arXiv2026

Clumps in the Resistive-Drift-Wave turbulence

The results of numerical simulations of the Hasegawa-Wakatani equation demonstrate that, similarly to decaying turbulence in 2D fluids, at a small electron adiabaticity parameter, the resistive-drift-wave (RDW) turbulence is dominated by the vortices. Occasionally, vortices with different signs become coupled and propagate ballistically as a dipole over a large distance, entraining plasma density. Such ballistic motion of the vortex-density clumps in radial direction provides a non-local feature of plasma transport associated with the RDW turbulence. Large magnitude of plasma parameters perturbations associated with clumps can initiate other plasma instabilities and nonlinear phenomena.

physics.plasm-ph↗
arXiv2026

Machine Learning approach to modeling of neutral particles transport in plasma

A propagator-based approach is investigated for Monte-Carlo (MC) modeling of neutral particles transport in fusion boundary plasmas. The propagator is essentially a Green function for the neutral kinetic equation, which depends on the plasma profiles. A Neural Network (NN) based model for the propagator provides a fast and accurate solution for the neutral distribution function in plasma. Furthermore, continuous and smooth dependence of NN-based reconstruction of the propagator on the plasma parameters opens the possibility for using this approach with Jacobian-based methods for time-integration and root finding. Initial results from a small 1D test problem look promising; however, important research questions are concerned with the scaling of the algorithm to larger systems.

physics.plasm-ph↗
arXiv2023

Aspherical PIC code (APIC) for modeling non-spherical dust in plasmas using shape-conforming coordinates

The 2D3V Aspherical Particle-in-Cell (APIC) code is developed for modeling of interactions of non-spherical dust grains with plasmas. It simulates the motion of plasma electrons and ions in a self-consistent electric field of plasma-screened charged dust particle. Due to absorption/recombination of plasma particles impinging on the grain surface, they transfer charge, momentum, angular momentum, as well as kinetic and binding energy, creating currents, forces, torques, and heat fluxes to the grain. The values of such physical parameters determine dust behavior in plasma, including its dynamics and ablation, and can be used in various plasma studies and applications, such as dusty plasmas, fusion devices, laboratory experiments, and astrophysical research. Obtaining these physical values for select non-spherical shapes of conducting dust grains is the main goal of the APIC code simulations.

physics.plasm-ph↗