Neural operators approximate solution operators of partial differential equations at a fraction of the cost of numerical solvers. Efficient grid-based architectures such as the Fourier neural operator (FNO) assume uniform rectangular grids, whereas engineering simulations use large, irregular, and locally refined meshe...
Vignesh Gopakumar, Zhuoyuan Wang, Ander Gray et al.· 0 citations
Many nonlinear physical systems exhibit an initial transient phase in which perturbations grow before nonlinear interactions lead to a statistically steady state. While this saturated regime is of primary interest, direct numerical simulations must resolve the full transient dynamics before reaching it, incurring signi...
G. Galletti, Gerald Gutenbrunner, W. Hornsby et al.· arXiv.org· 0 citations
Nuclear fusion plays a pivotal role in the quest for reliable and sustainable energy production. A major roadblock to viable fusion power is understanding plasma turbulence, which significantly impairs plasma confinement, and is vital for next-generation reactor design. Plasma turbulence is governed by the nonlinear gy...
Fabian Paischer, G. Galletti, W. Hornsby et al.· Neural Information Processin...· 9 citations
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