Plasma Simulation _hot_ -

Without plasma simulation, ITER would be a $25 billion guessing game. Thanks to validated simulations, engineers know:

Initialize grid, particles (positions, velocities) For each time step: Deposit charge density (rho) onto grid Solve Poisson’s equation (FFT or SOR) for electric field E Interpolate E from grid to particle positions For each particle: Update velocity: v_half = v + (q/m)*E*(dt/2) Update position: x_new = x + v_half*dt Update velocity: v_new = v_half + (q/m)*E*(dt/2) Output diagnostics (energy, phase space, field energy) End plasma simulation

Simulation models are selected based on the spatial and temporal scales of the physics being studied. IOPscience Kinetic Models (Particle-in-Cell, PIC) Without plasma simulation, ITER would be a $25

Building a piece of plasma simulation software or a model requires balancing the complex physics of charged particles with computational efficiency. Core Simulation Methods Core Simulation Methods

Without plasma simulation, ITER would be a $25 billion guessing game. Thanks to validated simulations, engineers know:

Initialize grid, particles (positions, velocities) For each time step: Deposit charge density (rho) onto grid Solve Poisson’s equation (FFT or SOR) for electric field E Interpolate E from grid to particle positions For each particle: Update velocity: v_half = v + (q/m)*E*(dt/2) Update position: x_new = x + v_half*dt Update velocity: v_new = v_half + (q/m)*E*(dt/2) Output diagnostics (energy, phase space, field energy) End

Simulation models are selected based on the spatial and temporal scales of the physics being studied. IOPscience Kinetic Models (Particle-in-Cell, PIC)

Building a piece of plasma simulation software or a model requires balancing the complex physics of charged particles with computational efficiency. Core Simulation Methods