Stars
Advanced long-term earth system forecasting by learning the small-scale nature
A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A massively-parallel GPU-accelerated high-order solver for direct numerical simulations of non-ideal wall-bounded flows
A differentiable PDE solving framework for machine learning
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
PDE solver focused on Navier-Stokes (and related) equations with arbitrary boundary conditions, employing Fourier (FC-Gram) expansions. Parallelized using MPI-OpenMP-CUDA.
Parallel solvers for Direct Numerical Simulation (DNS) of turbulent channel flow and postprocessing of the results
A type-flexible shallow water model that can run with 16-bit arithmetic.
CGFDM3D-EQR: A Platform for Rapid Response to Earthquake Disasters in 3D Complex Media
PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".
[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax for Partial Differential Equations
Official implementation of Scalable Transformer for PDE surrogate modelling
Turbulent flow network source code
Here you find the Spectral Operator Learning Under construcTION
Initial public release of code, data, and model weights for FourCastNet