An energy- and charge-conserving, nonlinearly implicit, electromagnetic 1D-3V Vlasov-Darwin particle-in-cell algorithm

  title={An energy- and charge-conserving, nonlinearly implicit, electromagnetic 1D-3V Vlasov-Darwin particle-in-cell algorithm},
  author={Guangye Chen and Luis Chac{\'o}n},
  journal={Comput. Phys. Commun.},

Figures from this paper

An Energy-Conserving Fourier Particle-in-Cell Method with Asymptotic-Preserving Preconditioner for Vlasov-Ampère System with Exact Curl-Free Constraint

Comparisons are made among the proposed energy-conserving scheme, the classical leapfrog scheme, and a Strang operator-splitting scheme to demonstrate the superiority of the proposed method, especially for plasma systems crossing physical scales.

Charge-conserving, variational particle-in-cell method for the drift-kinetic Vlasov-Maxwell system

The proposed method could be used to simulate electromagnetic turbulence in fusion experiments or space plasmas that exhibit a strong background magnetic field while retaining all of the ion physics, most of the necessary electron physics, yet eliminating perhaps the biggest obstacle in reaching macroscopic transport time scales in kinetic simulations, namely the electron cyclotron time scale.

Verification of a fully implicit particle-in-cell method for the v ∥-formalism of electromagnetic gyrokinetics in the XGC code

A fully implicit particle-in-cell method for handling the v‖-formalism of electromagnetic gyrokinetics has been implemented in XGC. By choosing the v‖ formalism, we avoid introducing the non-physical

An Implicit, Conservative and Asymptotic-Preserving Electrostatic Particle-in-Cell Algorithm for Arbitrarily Magnetized Plasmas in Uniform Magnetic Fields

We introduce a new electrostatic particle-in-cell algorithm capable of using large timesteps compared to particle gyro-period under a uniform external magnetic field. The algorithm extends earlier



An energy- and charge-conserving, implicit, electrostatic particle-in-cell algorithm

The Darwin Direct Implicit Particle-in-Cell (DADIPIC) Method for Simulation of Low Frequency Plasma Phenomena

We describe a new algorithm for simulating low frequency, kinetic phenomena in plasmas. Darwin direct implicit particle-in-cell (DADIPIC), as its name implies, is a combination of the Darwin and

Low-frequency electromagnetic (Darwin) applications in plasma simulation

Implicit adaptive grid plasma simulation

In a plasma simulation, the nonlinear interactions among the charged particles and the fields they generate are calculated by solving particle equations of motion self- consistently with Maxwell`s