Editorial: Adaptive Kinetic-Fluid Models for Plasma Simulations on Modern Computer Systems

Kolobov, Vladimir; Deluzet, Fabrice

doi:10.3389/fphy.2019.00078

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…AMR was based on magnitudes of space charge and electric field. A fixed number of nonlinear subiterations (10) were performed with the total number of time steps of 15 000. During the first 5000 steps, Δt was increased to 200 ns.…”

Section: Nonlinear Convergence and Time Steppingmentioning

confidence: 99%

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Implicit and coupled fluid plasma solver with adaptive Cartesian mesh and its applications to non-equilibrium gas discharges

Arslanbekov

Kolobov

2021

Plasma Sources Sci. Technol.

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We present a new fluid plasma solver with adaptive Cartesian mesh (ACM) based on a full-Newton (nonlinear, implicit) scheme for non-equilibrium gas discharge plasma. The electrons and ions are described using drift–diffusion approximation coupled to Poisson equation for the electric field. The electron-energy transport equation is solved to account for electron thermal conductivity, Joule heating, and energy loss of electrons in collisions with neutral species. The rate of electron-induced ionization is a function of electron temperature and could also depend on electron density (important for plasma stratification). The ion and gas temperature are kept constant. The transport equations are discretized using a non-isothermal Scharfetter–Gummel scheme to resolve possible large temperature gradients in the sheaths. We demonstrate the new solver for simulations of direct current (DC) and radiofrequency (RF) discharges. The implicit treatment of the coupled equations allows using large time steps. The full-Newton method (FNM) enables fast nonlinear convergence at each time step, offering significantly improved simulation efficiency. We discuss the selection of time steps for solving different plasma problems. The new solver enables solving several problems we could not solve before with existing software: two- and three-dimensional structures of the entire DC discharges including cathode and anode regions, electric field reversals and double-layer formation, the normal cathode spot and an anode ring, moving striations in diffuse and constricted DC discharges, and standing striations in RF discharges. The developed FNM-ACM technique offers many benefits for tackling the disparity of gas discharge plasma systems' time scales and nonlinearity.

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Section: Nonlinear Convergence and Time Steppingmentioning

confidence: 99%

“…Recent demands for understanding and addressing the disparity of temporal, spatial, and energy scales in plasmas come from developing adaptive kinetic-fluid solvers [10]. Many plasma problems require space, time, and model adaptation for an efficient solution [11,12].…”

Section: Introductionmentioning

confidence: 99%

Implicit and coupled fluid plasma solver with adaptive Cartesian mesh and its applications to non-equilibrium gas discharges

Arslanbekov

Kolobov

2021

Plasma Sources Sci. Technol.

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“…Innocenti et al (2017) present an approach to space weather prediction that aims toward exascale computing capabilites, using particle-in-cell methods to resolve physics on kinetic scales everywhere in the magnetosphere. Other approaches that do not follow the framework approach of coupling models that implement different, domain-relevant physics (Baker et al, 2009;Tóth et al, 2005) include the Vlasiator hybrid-Vlasov model (von Alfthan et al, 2014), which evolves the ion distribution function while treating the electrons as a fluid, other kinetic-fluid modeling approaches (Kolobov & Deluzet, 2019;Roytershteyn & Delzanno, 2018), and particle-in-cell models (Yang et al, 2016). Due to computational expense-or more precisely, the availability of computational resources to researchers-these kinetic simulations are currently limited to either small domains (Peng et al, 2015) or to two spatial dimensions (Innocenti et al, 2017;Jarvinen et al, 2018).…”

Section: Computational Approaches Resources and Analysismentioning

confidence: 99%

Challenges and Opportunities in Magnetospheric Space Weather Prediction

Morley

2020

Space Weather

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Space Weather is the study of the dynamics of the coupled Solar‐Terrestrial environment, as these dynamics impact technological systems and human activity. This paper reviews a selection of the advances, challenges, and new opportunities for magnetospheric space weather, and while the focus is on specific phenomena, many other aspects of space weather will have similar challenges and needs. As a scientific field with direct applications, the field of space weather is partly driven by imperatives from both policy and operations. We provide an introduction to some of the context in which the field exists and discuss how this might shape future developments and norms within the space weather enterprise. We briefly examine benchmarking, as a policy and operationally driven activity, as it provides immediate societal relevance and an opportunity to stretch scientific understanding. As numerical space weather prediction now becomes routine, and exascale computing is in the near future, we identify challenges relating to computational expense and big data, capturing and accounting for uncertainties, and specification of boundary conditions. Here, as with the observations supporting numerical space weather prediction, the key challenge lies in extending the lead time of predictions. We also discuss the role of data, particularly in regard to model validation and empirical modeling. Due to the growing societal impact of space weather, we also examine the relationships between space weather and its terrestrial counterpart and look at the importance of continuous evaluation, monitoring progress in predictive capability, and communication with researchers, forecasters, and end users.

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Electron kinetics in low-temperature plasmas

Kolobov

Godyak

2019

Physics of Plasmas

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This article presents an overview of recent advances in the field of electron kinetics in low-temperature plasmas (LTPs). It also provides author's views on where the field is headed and suggests promising strategies for further development. The authors have selected several problems to illustrate multidisciplinary nature of the subject (space and laboratory plasma, collisionless and collisional plasmas, and low-pressure and high-pressure discharges) and to illustrate how cross-disciplinary research efforts could enable further progress. Nonlocal electron kinetics and nonlocal electrodynamics in low-pressure rf plasmas resemble collisionless effects in space plasma and hot plasma effects in fusion science, terahertz technology, and plasmonics. The formation of electron groups in dc and rf discharges has much in common with three groups of electrons (core, strahl, and halo) in solar wind. Runaway electrons in LTPs are responsible for a wide range of physical phenomena from nano- and picoscale breakdown of dielectrics to lightning initiation. Understanding electron kinetics of LTPs could promote scientific advances in a number of topics in plasma physics and accelerate modern plasma technologies.

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Editorial: Adaptive Kinetic-Fluid Models for Plasma Simulations on Modern Computer Systems

Cited by 3 publications

References 13 publications

Implicit and coupled fluid plasma solver with adaptive Cartesian mesh and its applications to non-equilibrium gas discharges

Implicit and coupled fluid plasma solver with adaptive Cartesian mesh and its applications to non-equilibrium gas discharges

Challenges and Opportunities in Magnetospheric Space Weather Prediction

Electron kinetics in low-temperature plasmas

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