The study of uncertainty propagation is of fundamental importance in plasma physics
simulations. To this end, in the present work we propose a novel stochastic Galerkin (sG) …

Evidence indicates that quantities-of-interest in some turbulent flows can be controlled
despite the overall chaotic dynamics. It is typically thought that this is via relatively …

The design of particle simulation methods for collisional plasma physics has always
represented a challenge due to the unbounded total collisional cross section, which …

The predictions for the original chaos patterns can be used to correct the distorted chaos
pattern which has changed due to any changes whether from undesired disturbance or …

A gradient of a quantity-of-interest J with respect to problem parameters can augment the
utility of a predictive simulation. By itself, the gradient provides sensitivity information to …

In magnetic-confinement fusion devices, high-fidelity models of the energy-angle distribution
of the ions impacting on material walls are crucial for characterizing ion-surface interactions …