VEQ introduces a compact parametric Grad-Shafranov solver using MXH harmonics and Chebyshev coefficients that maps six input routes to a single variational residual operator and achieves millisecond solves with 10^-3 shape errors on G-EQDSK test cases.
Plasma Physics and Controlled Fusion63(1), 012001 (2020)
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MAESTRO couples surrogate optimization transport modeling with external solvers to enable efficient full-physics steady-state plasma predictions in fusion devices.
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VEQ: a fast parametric Grad--Shafranov solver for fixed-boundary tokamak equilibria with flexible source profiles
VEQ introduces a compact parametric Grad-Shafranov solver using MXH harmonics and Chebyshev coefficients that maps six input routes to a single variational residual operator and achieves millisecond solves with 10^-3 shape errors on G-EQDSK test cases.
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Accelerating integrated modeling with surrogate-based optimization: the MAESTRO workflow
MAESTRO couples surrogate optimization transport modeling with external solvers to enable efficient full-physics steady-state plasma predictions in fusion devices.