Examples#
PhysicsNeMo examples organized by application domain.
Contents
- Introductory Examples
- Fourier Neural Operater for Darcy Flow
- Physics Guided models for Darcy flow
- Lid Driven Cavity Flow using Purely Physics Driven Neural Networks (PINNs)
- MeshGraphNet for transient vortex shedding
- Adaptive Fourier Neural Operator (AFNO) for weather forecasting
- MeshGraphNet with Lagrangian mesh
- Learning the flow field of Stokes flow
- CFD Examples
- MeshGraphNet for transient vortex shedding
- AeroGraphNet for external aerodynamic evaluation
- DoMINO: Decomposable Multi-scale Iterative Neural Operator for External Aerodynamics
- Factorized Implicit Global Convolution Network
- XAeroNet: Scalable Neural Models for External Aerodynamics
- RNN for transient 2D Navier Stokes flow
- RNN for transient 3D Gray Scott system
- MeshGraphNet with Lagrangian mesh
- Nested Fourier Neural Operater for Darcy Flow
- Physics Guided models for Darcy flow
- Learning the flow field of Stokes flow
- Shallow Water Equations - Distributed GraphCast
- Temporal attention model in Mesh-Reduced space for transient vortex shedding
- Transolver for Darcy Flow
- Diffusion-based-Fluid-Super-resolution
- Thermal and airflow surrogate model for Datacenter design
- DoMINO-Automotive-Aero NIM Fine-tuning
- Weather and Climate Examples
- ERA5 Data Downloader and Converter
- GraphCast for weather forecasting
- Adaptive Fourier Neural Operator (AFNO) for weather forecasting
- Deep Learning Weather Prediction (DLWP) model for weather forecasting
- Deep Learning Weather Prediction (DLWP-HEALPIX) model for weather forecasting
- Diagnostic models in PhysicsNeMo (precipitation)
- Unified Recipe for Training Global Weather Forecasting Models
- Generative Correction Diffusion Model (CorrDiff) for Km-scale Atmospheric Downscaling
- StormCast: Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling
- Healthcare Examples
- Additive Manufacturing Examples
- Molecular Dynamics Examples