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LESnets (Large-Eddy Simulation nets): Physics-informed neural operator for large-eddy simulation of turbulence
Acquisition of large datasets for three-dimensional (3D) partial differential equations (PDE) is usually very expensive. Physics-informed neural opera...
Nov 7, 2024
6 authors
328 views
Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
Geological carbon sequestration (GCS) involves injecting CO into subsurface geological formations for permanent storage. Numerical simulations cou...
Sep 25, 2024
6 authors
31 views
Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
Neural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces....
Apr 28, 2025
2 authors
32 views
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