Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-machine-learning-fluid-mechanics
Curated list for ML in FM
https://github.com/ikespand/awesome-machine-learning-fluid-mechanics
Last synced: 6 days ago
JSON representation
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Research articles
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Physics-informed ML
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Reduced-order modeling aided ML
- arXiv
- arXiv - Nek5000/DeepTurbulence "Code"))
- arXiv
- arXiv - Maulik/CAE_LSTM_ROMS))
- Paper - Maulik/ML_ROM_Closures))
- arXiv
- arXiv
- arXiv
- arXiv
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- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- arXiv - Fonzi/pysu2DMD))
- arXiv
- arXiv
- Paper
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- arXiv
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
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- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- arXiv
- arXiv - 024-45578-4) | [Code](https://github.com/KTH-FlowAI/beta-Variational-autoencoders-and-transformers-for-reduced-order-modelling-of-fluid-flows) | [Data](https://zenodo.org/records/10501216))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- arXiv - Maulik/CAE_LSTM_ROMS))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
- Paper - archives/pilotedjet/ch4-air/) | [Code](https://github.com/kamilazdybal/cost-function-manifold-assessment))
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Editorials
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Review papers
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- arXiv
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- arXiv - 022-00264-7))
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- Open Access Paper
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- arXiv - 022-00264-7))
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Quantum Machine Learning
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Interpreted and Explainable Machine Learning
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Interpreted (/Explainable) Machine Learning
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Pattern identification, Super-resolution and experimental applications
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- Open Access Paper
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Patten identification and generation
- arXiv
- arXiv - 023-00657-y))
- Paper
- arXiv - FlowAI/Identifying-regions-of-importance-in-wall-bounded-turbulence-through-explainable-deep-learning))
- ResearchGate - abstract/36/2/025120/3262840/Machine-learning-based-vorticity-evolution-and?redirectedFrom=fulltext))
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- Open Access Paper
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Reinforcement learning
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Geometry optimization/ generation
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Others
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Transfer Learning
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Generative AI
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Geometry optimization or generation
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Blogs, discussions and news articles
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Others
- When CAE Meets AI: Deep Learning For CFD Simulations
- Machine Learning in Computational Fluid Dynamics
- Studying the nature of turbulence with Neural Concept's deep learning platform
- A case for machine learning in CFD
- Machine Learning for Accelerated Aero-Thermal Design in the Age of Electromobility
- A general purpose list for transitioning to data science and ML
- A compiled list of projects from NVIDIA where AI and CFD were used
- AI for CFD
- 4 Myths about AI in CFD
- Convolutional Neural Networks for Steady Flow Approximation
- CFD + Machine learning for super fast simulations
- What is the role of Artificial Intelligence (AI) or Machine Learning in CFD?
- Supercomputing simulations and machine learning help improve power plant
- Accelerating Product Development with Physics-Informed Neural Networks and NVIDIA Modulus
- NVIDIA, Rolls-Royce and Classiq Announce Quantum Computing Breakthrough for Computational Fluid Dynamics in Jet Engines
- Develop Physics-Informed Machine Learning Models with Graph Neural Networks
- The AI algorithm reduces design cycles/costs and time-to-market for advanced products
- Closing the gap between High-Performance Computing (HPC) and artificial intelligence (AI)
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Optimize F1 aerodynamic geometries via Design of Experiments and machine learning
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
- AI for CFD
- AI for CFD
- Machine Learning in Computational Fluid Dynamics
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Frameworks
- TensorFlow - known machine learning library developed by Google.
- PyTorch
- easyesn
- PYPARSVD
- EchoTorch
- flowTorch
- neurodiffeq
- SciANN - informed deep learning.
- PySINDy
- smarties - performance C++ implementations of deep RL learning algorithms including V-RACER, CMA, PPO, DQN, DPG, ACER, and NAF.
- DRLinFluids - 1](https://doi.org/10.1063/5.0103113), [Paper-2](https://doi.org/10.1063/5.0152777)]
- PyDMD
- turbESN - based package which relies on PyTorch for ESN as a backend which supports fully autonomous and teacher forced ESN predictions.
- PyKoopman - driven approximations to the Koopman operator. ([Paper](https://arxiv.org/abs/2306.12962))
- Scikit-learn - purpose machine learning library. It also provides the implementation of several other data analysis algorithm.
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ML-focused events
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Others
- International Workshop on Data-driven Modeling and Optimization in Fluid Mechanics
- Symposium on Model-Consistent Data-driven Turbulence Modeling
- Turbulence Modeling: Roadblocks, and the Potential for Machine Learning
- Mini symposia: Analysis of Real World and Industry Applications: emerging frontiers in CFD computing, machine learning and beyond
- IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics
- 33rd Parallel Computational Fluid Dynamics International Conference
- Workshop: data-driven methods in fluid mechanics
- Lecture Series on Hands on Machine Learning for Fluid Dynamics 2023
- 629 – Data-driven fluid mechanics
- Machine Learning for Fluid Mechanics: Analysis, Modeling, Control and Closures
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Available datasets
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Others
- Simulation data - database/experimental-data-1.791818 "Experimental data") | [Paper-1](https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/history-effects-and-near-equilibrium-in-adversepressuregradient-turbulent-boundary-layers/39C38082C380F396D004B65F438C296A "Paper-1"))
- Data - 1](http://www.vremanresearch.nl/Vreman_Kuerten_Chan180_PF2014.pdf "Paper-1") | [Paper-2](http://www.vremanresearch.nl/Vreman_Kuerten_Chan590_PF2014.pdf "Paper-2"))
- Database
- Database
- Data - 1](https://www.sciencedirect.com/science/article/abs/pii/S0017931017353176 "Paper-1") | [Paper-2](https://www.sciencedirect.com/science/article/abs/pii/S0017931017307998 "Paper-2"))
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Online resources
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Ongoing research, projects and labs
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Ongoing researchs, projects and labs
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Others
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Opensource codes, tutorials and examples
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Others
- machine-learning-applied-to-cfd
- Computational-Fluid-Dynamics-Machine-Learning-Examples
- Image Based CFD Using Deep Learning
- Tutorial on the Proper Orthogonal Decomposition (POD) by Julien Weiss
- OpenFOAM Machine Learning Hackathon
- Deep-Flow-Prediction
- TensorFlowFoam
- Reduced-order modeling of reacting flows using data-driven approaches - Notebook example for the data driven modeling.
- Repository from KTH-FLOW for ML in Fluid Dynamics
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Companies focusing on ML
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Others
- Neural Concepts
- Flowfusic
- byteLAKE - accelerated-cfd-computational-fluid-dynamics-how-does-bytelakes-cfd-suite-work-fea42fd0761e).
- NVIDIA
- NAVASTO
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Opensource CFD codes
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Support Forums
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Others
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Programming Languages
Categories
Research articles
409
Blogs, discussions and news articles
88
Frameworks
15
ML-focused events
10
Opensource CFD codes
9
Opensource codes, tutorials and examples
9
Online resources
8
Ongoing research, projects and labs
8
Available datasets
5
Companies focusing on ML
5
Support Forums
2
Ongoing researchs, projects and labs
1
Sub Categories
Review papers
164
Others
158
Pattern identification, Super-resolution and experimental applications
61
Reduced-order modeling aided ML
54
Geometry optimization/ generation
50
Physics-informed ML
29
Patten identification and generation
13
Geometry optimization or generation
6
Interpreted and Explainable Machine Learning
4
Quantum Machine Learning
4
Reinforcement learning
3
Transfer Learning
2
Editorials
2
Interpreted (/Explainable) Machine Learning
2
Generative AI
2
Keywords
machine-learning
5
pytorch
3
openfoam
2
physics-informed-neural-networks
2
reservoir-computing
2
neural-networks
2
artificial-intelligence
2
pod
1
netcdf
1
jupyter
1
ipsp
1
hdf5
1
dynamic-mode-decomposition
1
dmd
1
davis
1
csv
1
artificial-neural-networks
1
cnm
1
torch
1
echo-state-networks
1
recurrent-neural-networks
1
recurrent-networks
1
machine-learning-algorithms
1
python-toolkit
1
python
1
machinelearning
1
smartsim
1
nvidia-modulus
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hackathon
1
deep-reinforcement-learning
1
recurrent-neural-network
1
echo-state-network
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system-identification
1
sparse-regression
1
nonlinear-dynamics
1
model-discovery
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dynamical-systems
1
time-series
1
scientific-computing
1
pypi
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pinn
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pde-solver
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odes
1
ode
1
mathematical-modelling
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initial-value-problem
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differential-equations
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deep-learning
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boundary-value-problem
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tau
1