PDEBench: An Extensive Benchmark for Scientific Machine Learning
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Updated
May 14, 2024 - Python
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A flexible framework for solving PDEs with modern spectral methods.
Fluid dynamics component of Chemical Engineering Design Library (ChEDL)
Differentiable Fluid Dynamics Package
A minimal Stable Fluids inspired fluid solver with Python and NumPy.
Python script for Linear, Non-Linear Convection, Burger’s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume…
Physics-informed neural network for solving fluid dynamics problems
Python model solving the shallow water equations (linear momentum, nonlinear continuity)
A large-scale benchmark for machine learning methods in fluid dynamics
2D incompressible fluid solver implemented in Taichi.
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A versatile Python-Fortran CFD code that solves a large class of 2D flows
NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation. This project is a Python interface to NeqSim.
🌊 Framework for studying fluid dynamics with numerical simulations using Python (publish-only mirror). The main repo is hosted on https://foss.heptapod.net (Gitlab fork supporting Mercurial).
A Differentiable Reacting Flow Simulation Package in PyTorch
CFD codes written based on examples in various books like Patnakar, Versteeg etc
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Multi-fidelity Generative Deep Learning Turbulent Flows
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