Combing physics-based and data-driven predictions for quantitatively accurate models that extrapolate well; with application to DIII-D, AUG, and ITER tokamak fusion reactors

2024/09/30 by Joseph Abbate, Abbate, Joseph, E. Fable +9
Engineering · #FOS: Physical sciences #Nuclear reactor physics and engineering #Plasma Physics (physics.plasm-ph) #Reservoir Engineering and Simulation Methods

paper · pdf · doi:10.48550/arxiv.2409.20256

openalex publication_date 2024/09/30 · openalex created_date 2024/10/28 · openalex updated_date 2026/08/01

Abstract

Methodologies for combining the accuracy of data-driven models with extrapolability of physics-based models are described and tested, for the task of building transport models of tokamak fusion reactors that extrapolate well to new operational regimes. Information from multiple physics simulations (the ASTRA transport code with gyro-Bohm and TGLF estimates for turbulent diffusion) as well as multiple distinct experiments (DIII-D and AUG tokamaks) are considered. Applications of the methodology to the task of commissioning and controlling a new reactor such as ITER are discussed.

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