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...
The accurate prediction of turbulent transport in magnetically confined fusion (MCF) plasmas relies heavily on first-principles gyrokinetic simulations. However, the high computational cost of these calculations—often requiring weeks to months on high-performance computing platforms, presents a significant bottleneck for their inclusion in integrated modeling workflows and the rapid analysis...
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...
