CGYRO simulations find alpha particles suppress core turbulence in ARC tokamak via multiscale effects and raise the ITG critical gradient nonlinearly.
Accelerating integrated modeling with surrogate-based optimization: the MAESTRO workflow
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abstract
This paper introduces the MAESTRO workflow, that enables the coupling of the PORTALS framework [P. Rodriguez-Fernandez et al, Nucl. Fusion 2024] with external solvers for the plasma equilibrium, pedestal physics, divertor constraints and heating. The surrogate-based optimization nature of the transport solver is ideally suited for external coupling, allowing efficient steady-state predictions of plasma profiles with full physics models. Improvements in the surrogate modeling of quasilinear transport models with PORTALS are presented, which enable the efficient handling of discontinuities in the transport fluxes that can arise from numerical issues or physical instabilities with extreme stiffness. The combination of physics-informed methods and advanced numerical techniques allows the MAESTRO workflow to provide accurate and efficient predictions of steady-state plasma profiles, which are critical for fusion reactor design and optimization.
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Impact of energetic alpha particles on core turbulence in an ARC-class fusion power plant
CGYRO simulations find alpha particles suppress core turbulence in ARC tokamak via multiscale effects and raise the ITG critical gradient nonlinearly.