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Hybrid ML + physics model of the Earth's atmosphere
🌎 Framework for realistic regional-to-global ocean simulations, and coupled ocean + sea-ice simulations based on Oceananigans and ClimaSeaIce. Basis for the ocean and sea-ice component of CliMA's E…
🧊 Coupled and stand-alone simulations of sea ice for Earth system modeling
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
PINNs code for the paper: Forward and Inverse Modeling of Ice Sheet Flow Using Physics-Informed Neural Networks: Application to Helheim Glacier, Greenland
Massively parallel training of machine-learning based weather and climate models
CRIOS repo for bashrc files, submission scripts, and compiler options
Repository for the paper "Classifying Bubble Cavitation with Machine Learning Trained on Multiple Physical Models." This includes datasets, models, and analysis scripts.
Associated repository to the article Producing realistic climate data (10.5281/zenodo.4436274)
A parallel framework for deep learning
Curated list for ML in FM
Lecture material for machine learning applied to computational fluid mechanics
A curated list of repositories related to fluid dynamics.
The General NOAA Operational Modeling Environment
Adaptive mesh refinement in OpenFoam-v1812 for 2-dimensional problems
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
Multi-fidelity Generative Deep Learning Turbulent Flows
Hybrid LES/RANS Solver for a consistent dual-mesh framework
This repository contains codes related to our work on physics-guided machine learning.
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
Examples of how to use machine learning algorithms in computational fluid dynamics.
libAcoustics - OpenFOAM library for far-field noise computation
Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development