Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
cs.LG, cs.CE, cs.NA, math.NA, physics.ao-ph, physics.flu-dyn
Submitted: 2023-08-08
Updated: 2023-09-30
Terminology
Sources
- Neural Operator: Graph Kernel Network for Partial Differential Equations
- Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
- Fourier Neural Operator for Parametric Partial Differential Equations
- Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
- How Powerful are Graph Neural Networks?
- Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast
- GraphCast: Learning skillful medium-range global weather forecasting
- ClimaX: A foundation model for weather and climate
- FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
- Predicting waves in fluids with deep neural network
- Physics-Informed Neural Operator for Learning Partial Differential Equations
- Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries
- Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization
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