A differentiable, GPU-accelerated solver computes finite-toroidal-mode ideal MHD instabilities and their gradients, with a benchmark agreement against NIMSTELL on a stellarator case.
Omnigenous stellarator equilibria with enhanced stability
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abstract
To build an economically viable stellarator, it is essential to find a configuration that satisfies a set of favorable properties to achieve efficient steady-state nuclear fusion. One such property is omnigenity, which ensures confinement of trapped particles. After creating an omnigenous equilibrium, one must also ensure reduced transport resulting from kinetic and magnetohydrodynamic (MHD) instabilities. This study introduces and leverages the GPU-accelerated DESC optimization suite, which is used to design stable high-$\beta$ omnigenous equilibria, achieving Mercier, ideal ballooning, and enhanced kinetic ballooning stability. We explain the link between ideal and kinetic ballooning modes and discover stellarators with second stability, a regime of large pressure gradient where an equilibria becomes ideal ballooning stable.
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physics.plasm-ph 1years
2026 1verdicts
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unclear 1representative citing papers
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AGNI: A differentiable MHD stability solver & optimizer for magnetic confinement fusion devices
A differentiable, GPU-accelerated solver computes finite-toroidal-mode ideal MHD instabilities and their gradients, with a benchmark agreement against NIMSTELL on a stellarator case.