Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
Abstract: This presentation discusses computational modeling of complex materials behaviors under multi-physics conditions for Aerospace applications. We develop chemistry, physics, and ...
The observational track of Typhoon "Danas" (solid line) along with forecasted paths (dashed lines) depicted on the FY-4B satellite visible light imagery at 08:00 BST on July 6, 2025. The dashed lines ...
Wind fields modeled by the authors’ physics-informed neural network (PINN) produces similar results to a Weather Research & Forecasting (WRF) simulation while using far fewer resources. WASHINGTON, ...
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