Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers

arXiv:2312.12610v2 Announce Type: replace-cross
Abstract: This work presents the PORTALS framework, which leverages surrogate modeling and optimization techniques to enable the prediction of core plasma profiles and performance with nonlinear gyrokinetic simulations at significantly reduced cost, with no loss of accuracy. The efficiency of PORTALS is benchmarked against standard methods, and its full potential is demonstrated on a unique, simultaneous 5-channel (electron temperature, ion temperature, electron density, impurity density and angular rotation) prediction of steady-state profiles in a DIII-D ITER …

abstract accuracy arxiv capabilities core cost cs.lg efficiency framework fusion loss modeling optimization performance physics.comp-ph physics.plasm-ph plasma prediction predictive profiles simulations through transport type work