A novel δf PIC method evolves the bulk density control variate with periodic SympNets approximating backward flow for Vlasov-Poisson simulations validated in 1D1V and 3D3V.
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Non-linear control variate in {\delta}f particle-in-cell methods using symplectic neural networks
A novel δf PIC method evolves the bulk density control variate with periodic SympNets approximating backward flow for Vlasov-Poisson simulations validated in 1D1V and 3D3V.