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Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis

arXiv 2510.13521 ↗First posted 15 Oct 2025physics.plasm-ph cs.AI cs.LGcited by 0

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Abstract (arXiv)

Numerical computation of the ideal Magnetohydrodynamic (MHD) equilibrium magnetic field is at the base of stellarator optimisation and provides the starting point for solving more sophisticated Partial Differential Equations (PDEs) like transport or turbulence models. Conventional approaches solve for a single stationary point of the ideal MHD equations, which is fully defined by three invariants and the numerical scheme employed by the solver. We present the first numerical approach that can solve for a continuous distribution of equilibria with fixed boundary and rotational transform, varying only the pressure invariant. This approach minimises the force residual by optimising parameters of multilayer perceptrons (MLP) that map from a scalar pressure multiplier to the Fourier Zernike basis as implemented in the modern stellarator equilibrium solver DESC.

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References · 4

  1. 2017Self-Normalizing Neural Networkscited by 591
  2. 2022Deep transfer operator learning for partial differential equations under conditional shiftcited by 83
  3. 2022The DESC Stellarator Code Suite Part II: Perturbation and continuation methodscited by 4
  4. 2025Improving ideal MHD equilibrium accuracy with physics-informed neural networkscited by 1

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