Commercialization of fusion technologies, ranging from fusion power plants to fusion-powered propulsion systems, requires advanced design and engineering capabilities that tightly integrate physics, materials, and manufacturing processes. Traditionally, the complexity of design and the complexity of manufacturing have been treated separately due to the limitations of existing digital tools and...
Addressing the fusion science and technology development needs of the accelerating fusion energy deployment timeline requires a deep understanding of the interaction between materials and the complex physics and engineering processes in the extreme fusion environment. Plasma facing materials, for example, are subject to extreme thermal loads, repeated thermal shocks, and bombardment by 14 MeV...
High-fidelity nonlinear MHD simulations, such as those performed with the M3D-C1 code, are essential for understanding plasma instabilities and disruption dynamics but remain prohibitively expensive for optimization tasks and large-scale parametric studies. We present a neural operator-based surrogate model that enables both cross-machine generalization and parametric extrapolation, offering a...
