PQLS: A Quasilinear Gyrokinetic Transport Solver with a Bayesian Saturation-Rule Closure

PQLS (Predictive Quasilinear Solver) is a quasilinear gyrokinetic transport solver designed for integrated modeling of magnetically confined plasma. It formulates the solver in general magnetic geometry using an eigenvalue approach. The key innovation is the Bayesian saturation-rule closure, which addresses the limitation of traditional saturation rules by incorporating prior knowledge and observational data to constrain the model predictions. This approach targets plasma turbulence and transport phenomena in fusion devices such as tokamaks.