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High-efficiency rarefied neutral gas computational model for plasma simulation.

Renfan Mao1, Junxue Ren2,3,4, Zeyang Wang2

  • 1Beihang University, School of Space and Earth Sciences, Beijing 102206, China.

Physical Review. E
|December 23, 2025
PubMed
Summary
This summary is machine-generated.

A new computational model efficiently calculates neutral particle density in plasma simulations. This method accelerates convergence and improves steady-state accuracy for rarefied gas flows.

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Area of Science:

  • Plasma Physics
  • Computational Fluid Dynamics
  • Kinetic Theory

Background:

  • Accurate simulation of neutral particle behavior is crucial for understanding plasma dynamics.
  • Existing methods struggle with computational cost and convergence in rarefied gas environments.
  • Steady-state neutral density distribution is key for many plasma applications.

Purpose of the Study:

  • To develop an efficient computational model for quasi-steady-state neutral particle density in plasma simulations.
  • To improve the accuracy and speed of simulating rarefied neutral gas flows.
  • To provide a practical tool for steady-state plasma research.

Main Methods:

  • Introduced a linear evolution approximation for neutral phase space distribution.
  • Utilized the Duhamel principle to connect steady-state solutions with impulse response tracking.
  • Validated the model against analytical benchmarks and compared it with classic methods.

Main Results:

  • The proposed model efficiently resolves steady-state neutral distributions.
  • Coupling with plasma models accelerates convergence and eliminates ionization overshoot.
  • Demonstrated advantages over existing methods in accuracy and computational cost.

Conclusions:

  • The developed model offers a computationally efficient and accurate approach for rarefied neutral gas simulations.
  • It is compatible with standard plasma simulation techniques.
  • This tool is valuable for steady-state plasma research, especially in high ionization rate scenarios.