Accelerating particle-in-cell kinetic plasma simulations via reduced-order modeling of space-charge dynamics using dynamic mode decomposition

Nayak, Indranil; Teixeira, Fernando L.; Na, Dong-Yeop; Kumar, Mrinal; Omelchenko, Yuri A.

doi:10.1103/physreve.109.065307

Accelerating particle-in-cell kinetic plasma simulations via reduced-order modeling of space-charge dynamics using dynamic mode decomposition

Journal Article · Mon Jun 17 00:00:00 EDT 2024 · Physical Review. E

DOI:https://doi.org/10.1103/physreve.109.065307· OSTI ID:2374999

^[1]; ^[1]; ^[2]; ^[1]; Omelchenko, Yuri A. ^[3]

The Ohio State University, Columbus, OH (United States)
Pohang University of Science and Technology (POSTECH), Pohang (South Korea)
Trinum Research Inc., San Diego, CA (United States)

We present a data-driven reduced-order modeling of the space-charge dynamics for electromagnetic particle-in-cell (EMPIC) plasma simulations based on dynamic mode decomposition (DMD). The dynamics of the charged particles in kinetic plasma simulations such as EMPIC is manifested through the plasma current density defined along the edges of the spatial mesh. We showcase the efficacy of DMD in modeling the time evolution of current density through a low-dimensional feature space. Not only do such DMD based predictive reduced-order models help accelerate EMPIC simulations, they also have the potential to facilitate investigative analysis and control applications. Here, we demonstrate the proposed DMD-EMPIC scheme for reduced-order modeling of current density and speedup in EMPIC simulations involving electron beam under the influence of magnetic field, virtual cathode oscillations, and backward wave oscillator.

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This content will become publicly available on Tue Jun 17 00:00:00 EDT 2025

Research Organization:: The Ohio State University, Columbus, OH (United States)

Sponsoring Organization:: USDOE; Ohio Supercomputer Center

Grant/Contract Number:: SC0022982; PAS-0061

OSTI ID:: 2374999

Alternate ID(s):: OSTI ID: 2473382

Journal Information:: Physical Review. E, Vol. 109, Issue 6; ISSN 2470-0045

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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Accelerating particle-in-cell kinetic plasma simulations via reduced-order modeling of space-charge dynamics using dynamic mode decomposition

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