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Spectrally accurate, reverse-mode differentiable bounce-averaging algorithm and its applications

Kaya E. Unalmis, Rahul Gaur, Rory Conlin, Dario Panici, Egemen Kolemen

TL;DR

The paper presents a spectrally accurate, reverse-mode differentiable bounce-averaging algorithm implemented in DESC to optimize stellarator performance. By deriving and differentiating the banana-regime neoclassical transport proxy $\epsilon_{\mathrm{eff}}^{3/2}$, the authors enable gradient-based optimization of finite-$\beta$ equilibria while preserving ideal MHD force balance. The approach combines inverse MHD solving, moving-grid spectral mappings, and advanced quadrature to achieve high accuracy and scalability, demonstrated on an OH equilibrium. This work provides a scalable framework for multi-objective stellarator optimization with potential extensions to other transport proxies and stability metrics.

Abstract

We present a fast, spectrally accurate, automatically differentiable bounce-averaging algorithm implemented in the DESC stellarator optimization suite. Using this algorithm, we can perform efficient optimization of many objectives to improve stellarator performance, such as the $ε_{\mathrm{eff}}^{3/2}$ proxy for the neoclassical transport coefficient in the $1/ν$ (banana) regime. By employing this differentiable approximation, for the first time, we optimize a finite-beta stellarator to directly reduce neoclassical ripple transport using reverse-mode differentiation. This ensures the cost of differentiation is independent of the number of controllable parameters.

Spectrally accurate, reverse-mode differentiable bounce-averaging algorithm and its applications

TL;DR

The paper presents a spectrally accurate, reverse-mode differentiable bounce-averaging algorithm implemented in DESC to optimize stellarator performance. By deriving and differentiating the banana-regime neoclassical transport proxy , the authors enable gradient-based optimization of finite- equilibria while preserving ideal MHD force balance. The approach combines inverse MHD solving, moving-grid spectral mappings, and advanced quadrature to achieve high accuracy and scalability, demonstrated on an OH equilibrium. This work provides a scalable framework for multi-objective stellarator optimization with potential extensions to other transport proxies and stability metrics.

Abstract

We present a fast, spectrally accurate, automatically differentiable bounce-averaging algorithm implemented in the DESC stellarator optimization suite. Using this algorithm, we can perform efficient optimization of many objectives to improve stellarator performance, such as the proxy for the neoclassical transport coefficient in the (banana) regime. By employing this differentiable approximation, for the first time, we optimize a finite-beta stellarator to directly reduce neoclassical ripple transport using reverse-mode differentiation. This ensures the cost of differentiation is independent of the number of controllable parameters.

Paper Structure

This paper contains 17 sections, 51 equations, 14 figures.

Figures (14)

  • Figure 1: A schematic categorizing neoclassical transport is shown. Most fusion stellarator designs lie in the banana regime where the effective ripple quantifies transport best.
  • Figure 2: This figure shows bounce points within $\openint{\zeta_1}{\zeta_2} = (0, 4 \mathrm{\pi})$ on the field line $(\psi, \alpha) = (1, 0)$ for a mesh of $\varrho$ values on a W7-X stellarator. For a given $\varrho$ marked by a horizontal line, $\lvert v_{\parallel}\rvert = 0$ at the bounce points marked by triangles. The plasma distribution vanishes in the hypograph of $\lvert B\rvert$. The collocation nodes to minimize the force balance residual include $\zeta = 0$, so the higher frequency oscillations at $\zeta = 2 \mathrm{\pi}$ are not noise.
  • Figure 3: This figure shows $\iota \omega - \Lambda$ at toroidal angles $\phi \in \clopenint{0}{2\mathrm{\pi} /N_{\text{FP}}}$ for a W7-X stellarator in the lab frame. $\iota \omega - \Lambda$ is $(2 \mathrm{\pi}, 2\mathrm{\pi} / N_{\text{FP}})$ periodic in $(\theta \text{ or } \vartheta, \zeta \text{ or } \phi)$.
  • Figure 4: This figure shows $\alpha$ at toroidal angles $\phi \in \clopenint{0}{2\mathrm{\pi}}$ for a W7-X stellarator in the lab frame. The discontinuities shown above demarcate the next branch cut of $\alpha$ where $\theta$ crosses $2 \mathrm{\pi}$.
  • Figure 5: This figure shows $\theta, \zeta \mapsto \alpha$ and $\alpha, \zeta \mapsto \theta - \alpha$ at the plasma boundary for a W7-X stellarator. $\theta - \alpha$ is $(2 \mathrm{\pi}, \infty)$ periodic in $(\theta \text{ or } \vartheta \text{ or } \alpha, \zeta \text{ or } \phi)$.
  • ...and 9 more figures