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Junjie ZHANG, Xin ZHANG, Guoliang PENG, Zeping REN. A GPU-based general numerical framework for plasma simulations in terms of microscopic kinetic equations with full collision terms[J]. Plasma Science and Technology, 2022, 24(5): 054007. DOI: 10.1088/2058-6272/ac5f39
Citation: Junjie ZHANG, Xin ZHANG, Guoliang PENG, Zeping REN. A GPU-based general numerical framework for plasma simulations in terms of microscopic kinetic equations with full collision terms[J]. Plasma Science and Technology, 2022, 24(5): 054007. DOI: 10.1088/2058-6272/ac5f39

A GPU-based general numerical framework for plasma simulations in terms of microscopic kinetic equations with full collision terms

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  • Corresponding author:

    Junjie ZHANG, E-mail: zjacob@mail.ustc.edu.cn

  • Received Date: January 19, 2022
  • Revised Date: March 16, 2022
  • Accepted Date: March 17, 2022
  • Available Online: December 11, 2023
  • Published Date: May 08, 2022
  • We have proposed a general numerical framework for plasma simulations on graphics processing unit clusters based on microscopic kinetic equations with full collision terms. Our numerical algorithm consistently deals with both long-range (classical forces in the Vlasov term) and short-range (quantum processes in the collision term) interactions. Providing the relevant particle masses, charges and types (classical, fermionic or bosonic), as well as the external forces and the matrix elements (in the collisional integral), the algorithm consistently solves the coupled multi-particle kinetic equations. Currently, the framework is being tested and applied in the field of relativistic heavy-ion collisions; extensions to other plasma systems are straightforward. Our framework is a potential and competitive numerical platform for consistent plasma simulations.

  • The authors are thankful for the technical support from Prof Qun Wang and Shi Pu from the University of Science and Technology of China and Xin-Li Sheng from the Central China Normal University. The work was supported by National Natural Science Foundation of China (No. 12105227).

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