A Numerical Scheme for the Quantum Fokker-Planck-Landau Equation Efficient in the Fluid Regime

A Numerical Scheme for the Quantum Fokker-Planck-Landau Equation Efficient in the Fluid Regime

Year:    2012

Communications in Computational Physics, Vol. 12 (2012), Iss. 5 : pp. 1541–1561

Abstract

We construct an efficient numerical scheme for the quantum Fokker-Planck-Landau (FPL) equation that works uniformly from kinetic to fluid regimes. Such a scheme inevitably needs an implicit discretization of the nonlinear collision operator, which is difficult to invert. Inspired by work [9] we seek a linear operator to penalize the quantum FPL collision term QqFPL in order to remove the stiffness induced by the small Knudsen number. However, there is no suitable simple quantum operator serving the purpose and for this kind of operators one has to solve the complicated quantum Maxwellians (Bose-Einstein or Fermi-Dirac distribution). In this paper, we propose to penalize QqFPL by the "classical" linear Fokker-Planck operator. It is based on the observation that the classical Maxwellian, with the temperature replaced by the internal energy, has the same first five moments as the quantum Maxwellian. Numerical results for Bose and Fermi gases are presented to illustrate the efficiency of the scheme in both fluid and kinetic regimes.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.220411.090112a

Communications in Computational Physics, Vol. 12 (2012), Iss. 5 : pp. 1541–1561

Published online:    2012-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    21

Keywords:   

  1. A BGK‐penalization‐based asymptotic‐preserving scheme for the multispecies Boltzmann equation

    Jin, Shi | Li, Qin

    Numerical Methods for Partial Differential Equations, Vol. 29 (2013), Iss. 3 P.1056

    https://doi.org/10.1002/num.21746 [Citations: 16]
  2. Handbook of Numerical Methods for Hyperbolic Problems - Applied and Modern Issues

    Asymptotic-Preserving Schemes for Multiscale Hyperbolic and Kinetic Equations

    Hu, J. | Jin, S. | Li, Q.

    2017

    https://doi.org/10.1016/bs.hna.2016.09.001 [Citations: 19]
  3. Asymptotic-Preserving Numerical Schemes for the Semiconductor Boltzmann Equation Efficient in the High Field Regime

    Jin, Shi | Wang, Li

    SIAM Journal on Scientific Computing, Vol. 35 (2013), Iss. 3 P.B799

    https://doi.org/10.1137/120886534 [Citations: 12]
  4. Numerical solution of the quantum Lenard-Balescu equation for a non-degenerate one-component plasma

    Scullard, Christian R. | Belt, Andrew P. | Fennell, Susan C. | Janković, Marija R. | Ng, Nathan | Serna, Susana | Graziani, Frank R.

    Physics of Plasmas, Vol. 23 (2016), Iss. 9

    https://doi.org/10.1063/1.4963254 [Citations: 7]
  5. Asymptotic-Preserving Exponential Methods for the Quantum Boltzmann Equation with High-Order Accuracy

    Hu, Jingwei | Li, Qin | Pareschi, Lorenzo

    Journal of Scientific Computing, Vol. 62 (2015), Iss. 2 P.555

    https://doi.org/10.1007/s10915-014-9869-2 [Citations: 6]
  6. A Successive Penalty-Based Asymptotic-Preserving Scheme for Kinetic Equations

    Yan, Bokai | Jin, Shi

    SIAM Journal on Scientific Computing, Vol. 35 (2013), Iss. 1 P.A150

    https://doi.org/10.1137/110857982 [Citations: 18]
  7. On stochastic Galerkin approximation of the nonlinear Boltzmann equation with uncertainty in the fluid regime

    Hu, Jingwei | Jin, Shi | Shu, Ruiwen

    Journal of Computational Physics, Vol. 397 (2019), Iss. P.108838

    https://doi.org/10.1016/j.jcp.2019.07.037 [Citations: 8]
  8. On the quantum Landau collision operator and electron collisions in dense plasmas

    Daligault, Jérôme

    Physics of Plasmas, Vol. 23 (2016), Iss. 3

    https://doi.org/10.1063/1.4944392 [Citations: 18]
  9. A Vlasov-Fokker-Planck-Landau code for the simulation of colliding supersonic dense plasma flows

    Zhao, Hanzhi | Weng, Suming | Sheng, Zhengming | Jin, Shi | Zhang, Jie

    Journal of Computational Physics, Vol. 503 (2024), Iss. P.112843

    https://doi.org/10.1016/j.jcp.2024.112843 [Citations: 0]
  10. Asymptotic-preserving schemes for multiscale physical problems

    Jin, Shi

    Acta Numerica, Vol. 31 (2022), Iss. P.415

    https://doi.org/10.1017/S0962492922000010 [Citations: 30]
  11. Quantum Fokker-Planck modeling of degenerate electrons

    Le, Hai P.

    Journal of Computational Physics, Vol. 434 (2021), Iss. P.110230

    https://doi.org/10.1016/j.jcp.2021.110230 [Citations: 1]
  12. Integral propagator method as a kinetic operator to describe discontinuous plasmas

    Donoso, J. M. | Jimenez, A. | Gonzalez, J. | Conde, L.

    Journal of Physics: Conference Series, Vol. 768 (2016), Iss. P.012004

    https://doi.org/10.1088/1742-6596/768/1/012004 [Citations: 0]
  13. Solving Vlasov-Poisson-Fokker-Planck Equations using NRxx method

    Wang, Yanli | Zhang, Shudao

    Communications in Computational Physics, Vol. 21 (2017), Iss. 3 P.782

    https://doi.org/10.4208/cicp.220415.080816a [Citations: 4]