Abstract Details
Abstracts
Author: Rahul Gaur
Requested Type: Consider for Invited
Submitted: 2024-03-30 14:30:18
Co-authors: Rory Conlin, Dario Panici, Daniel Dudt, Jason Parisi, Yigit Elmacioglu, Kian Orr, Kaya Unalmis, Egemen Kolemen
Contact Info:
Princeton University
Spring Street
Princeton, New Jersey 08544
United States
Abstract Text:
We present an overview of the innovative stellarator design and analysis capabilities enabled by the DESC code. This software suite integrates magnetohydrodynamic (MHD) equilibrium with optimization codes, streamlining the numerical optimization challenges inherent in advancing stellarator designs. Unlike finite difference or adjoint methods, automatic differentiation offers precise derivatives of any objective function, facilitating the use of extensive physics constraints, including stability metrics, neoclassical transport, and coil shape complexity.
Our demonstration includes the optimization of MHD equilibria focusing on omnigenity, ballooning stability, alpha particle confinement, turbulent transport, coil design, and coil complexity. To highlight the versatility of the DESC code, we showcase innovative approaches to generate MHD equilibria with boundary conditions such as Poincare or on-surface boundary conditions, distinct from the fixed boundary setup typically employed by other codes. Lastly, we introduce a novel category of "umbilic" shapes --- configurations featuring multiple, toroidally-coupled X points, which hold potential in the development of island divertor configurations using DESC.
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