Null collision Monte Carlo simulation model for particle-in-cell method

Вшивков, В. А.; Soloviev, A. A.; Chernoshtanov, I. S.; Efimova, A. A.

doi:10.1088/1742-6596/2028/1/012005

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…To ensure the conservation of the full energy and momentum of ions the procedure of renormalization is applied. Details of the particular realization can be found in Vshivkov et al (2021).…”

Section: Description Of the Modelmentioning

confidence: 99%

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Effects observed in numerical simulation of high-beta plasma with hot ions in an axisymmetric mirror machine

Chernoshtanov,

Chernykh,

Dudnikova

et al. 2024

J. Plasma Phys.

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Section: Description Of the Modelmentioning

confidence: 99%

“…When applying the frequently used Takizuka–Abe method (Takizuka & Abe 1977) to model pair collisions, the amount of computation grows quadratically with increasing number of macroparticles. Therefore, we applied the null-collision Monte Carlo algorithm (Vshivkov et al 2021). The idea of this method is following.…”

Section: Description Of the Modelmentioning

confidence: 99%

Effects observed in numerical simulation of high-beta plasma with hot ions in an axisymmetric mirror machine

Chernoshtanov,

Chernykh,

Dudnikova

et al. 2024

J. Plasma Phys.

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“…The event of binary collision is described by the cross section defining the probability of collision, velocities of particles, plasma density, and the length of time step. Some modern advances in accounting for collisions in PIC algorithms involve (1) implementation of the multi-species, non-linear Coulomb collision operator based on the moment approach [142]; (2) null MCC approach avoiding the calculation of pairwise collisions and trigonometric functions [143]; and (3) an efficient, massively parallel GPU implementation of the PIC method with MCC algorithm [144]. Ionization of electrons in ultrafast laser-plasma interactions was observed to become important in several processes such as defocusing of laser light and plasma mirrors [104].…”

Section: Numerical Algorithms Used In the Pic Approachmentioning

confidence: 99%

Ultrafast laser matter interactions: modeling approaches, challenges, and prospects

Miloshevsky

2022

Modelling Simul. Mater. Sci. Eng.

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The irradiation of the target surface by an ultrafast femtosecond (fs) laser pulse produces the extreme nonequilibrium states of matter and subsequent phase transformations. Computational modeling and simulation is a very important tool for gaining insight into the physics processes that govern the laser-matter interactions, and, specifically, for quantitative understanding the laser light absorption, electronion energy exchange, spallation, melting, warm dense matter regime, vaporization, and expansion of plasma plume. High-fidelity predictive modeling of a variety of these multi-physics processes that take place at various time and length scales is extremely difficult, requiring the coupled multi-physics and multi-scale models. This topical review covers progress and advances in developing the modeling approaches and performing the state-of-the-art simulations of fs laser-pulse interactions with solids and plasmas. A complete kinetic description of a plasma based on the most accurate Vlasov-Maxwell set of equations is first presented and discussed in detail. After that an exact kinetic model that encompasses the microscopic motions of all the individual particles, their charge and current densities, generated electric and magnetic fields, and the effects of these field on the motion of charged particles in a plasma is briefly reviewed. The methodology of kinetic particle-in-cell (PIC) approach that is well suitable for computational studies of the non-linear processes in laser-plasma interactions is then presented. The hydrodynamic models used for the description of plasmas under the assumption of a local thermodynamic equilibrium include the two-fluid and two-temperature model and its simplifications. The two-temperature model coupled with molecular dynamics (MD) method is finally discussed. Examples are illustrated from research areas such as applications of the fully kinetic, PIC, hydrodynamic, and MD models to studies of ultrafast laser-matter interactions. Challenges and prospects in the development of computational models and their applications to the modeling of ultrafast intense laser-solid and laser-plasma interactions are overviewed.

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