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Four-panel visualizations for three different physical systems are arranged in three rows, labeled (a), (b), and (c). Each row corresponds to a specific system: (a) plasma turbulence (MHD), (b) fluid flow (Navier-Stokes), and (c) shallow-water dynamics. Within each row, the panels display (from left to right): the ground truth state, the StFT-F model prediction, the spatial distribution of prediction error (residual), and the predicted uncertainty. Colorbars beside each panel indicate the value ranges, with red and blue representing positive and negative values. The visualizations show that areas with higher errors generally coincide with regions of higher predicted uncertainty. Map showing path of data from Virgina to Caifornia Tropical cyclones occurring near coastal areas are getting more intense, according to climate models. (Credit: NASA) The ASA architecture can be used to accelerate sparse accumulation for GraphBLAS to deliver much faster performance and energy efficiency for those operations. For the first time, researchers have a better understanding of how gluons (left side) and quarks (right side) form the substructure of protons and other hadrons. (Credit: Kent Leech for Lawrence Berkeley National Laboratory, Creative Services Office) Locking greenhouse gases into carbon nanofibers (CNFs) could turn buildings into carbon-storage devices. A simulation snapshot of a typical structure of ZnCl3•2, showing the metal ion in red and the Cl– ions in white On the left, a white square delineates a set of illuminated objects in space: four white lights in a cross shape surrounding a central yellow light. On the right, a magnified inset image of the same image. Initiation and progress of a Rayleigh-Taylor instability triggered by thermal fluctuations.
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