Long-time-scale particle-in-cell simulations of magnetized plasmas

Electromagnetic particle-in-cell (PIC) simulations are key tools for modeling plasma dynamics in many fusion-relevant applications. Practical limitations on the time and computational resources that can be allocated to a given simulation, however, often limit their applicability to small spaciotemporal windows. Leveraging second-order, charge- and energy-conserving algorithms, our new code named TriForce aims to expand the spaciotemporal limits of PIC simulations. TriForce is a hybrid PIC/fluid code currently under development with an extensible and modular developer environment for multiphysics simulations. We present computational modeling details for long-time-scale simulations of three example systems: field-reversed configuration plasma, power flow in vacuum magnetically-insulated transmission lines and burn-wave propagation in magnetized, fusion-relevant plasma.