Bulletin of the American Physical Society
64th Annual Meeting of the APS Division of Plasma Physics
Volume 67, Number 15
Monday–Friday, October 17–21, 2022; Spokane, Washington
Session CO07: Fundamental Plasmas: Analytical and Computational Techniques
2:00 PM–4:48 PM,
Monday, October 17, 2022
Room: 401 ABC
Chair: Paulo Alves, UCLA
Abstract: CO07.00006 : Machine-learned boundary conditions for the optimal absorption of charged particles in particle-in-cell simulations*
3:00 PM–3:12 PM
Presenter:
Mark Almanza
(UCLA, Department of Physics and Astronomy, Los Angeles, CA, USA)
Authors:
Mark Almanza
(UCLA, Department of Physics and Astronomy, Los Angeles, CA, USA)
Amadou Diallo
(Lawrence Berkeley National Laboratory, Berkeley, CA, USA)
Edoardo Zoni
(Lawrence Berkeley National Laboratory, Berkeley, CA, USA)
Remi Lehe
(Lawrence Berkeley National Laboratory, Berkeley, CA, USA)
E. Paulo Alves
(UCLA, Department of Physics and Astronomy, Los Angeles, CA, USA)
Recent progress has been made in extending the PML method to the special case of absorbing particles crossing the simulation boundary at normal incidence [1], but this scheme continues to produce significant spurious radiation for charged particles at arbitrary angles of incidence. In this work, we frame the design of absorbing BCs for charged particles as an optimization problem, and solve it via gradient-based methods using a differentiable Maxwell solver written in PyTorch [2]. We find new absorbing BCs that outperform previous methods both at normal and oblique incidence. Our results demonstrate the potential of leveraging differentiable solvers to design new numerical algorithms.
[1] R. Lehe et al., ArXiv:2201.09084 [Physics] (2022).
[2] A. Paszke et al., Adv. in Neur. Info. Proc. Sys. 32, 2019, pp. 8024–8035.
*This work was partially funded by the Exascale Computing Project (17-SC-20-SC).
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