Overview of new high-fidelity and scalable stellarator modeling efforts at UW-Madison

This presentation will give an overview of new research activities established at the University of Wisconsin - Madison, that aim to further the capability for high-fidelity and scalable modeling of macroscopic physics in stellarators. First is the application and continued development of the extended-magnetohydrodynamic (MHD) code, M3D-C1, to investigate nonlinear MHD in advanced stellarator configurations. We exercise M3D-C1's ability to model a variety of different scenarios, including external heating of vacuum fields and assessing nonlinear stability of finite beta equilibrium states. The second is exploring and adapting novel algorithms to improve stellarator modeling capabilities. We report on the progress of a grid-free Monte Carlo method for solving steady-state transport equations in complex geometry and with spatially varying coefficients, written in Julia and parallelized on GPU. A new variance reduction scheme is developed to improve efficiency and introduces provable bounds to refine the scalability and accuracy of the algorithm. Finally, we highlight recent efforts to improve the accessibility of stellarator analysis tools by building a new framework in Julia that features modern graphical user interfaces and automatic, high order spatial discretization.