I have considerable interest in the application of machine learning techniques to (computational) fluid dynamics. I’ll collect the related information and enhance the following links.
| News |
| Turbulence Modeling |
Karthik Duraisamy, A Framework for Turbulence Modeling using Big Data
Anand Pratap Singh et al., Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils
| Computer Graphics |
Lubor Ladicky et al., Data-driven Fluid Simulations using Regression Forests
- Convolutional Network (ConvNet)
Jonathan Tompson et al., Accelerating Eulerian Fluid Simulation With Convolutional Networks
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Nice!
I like the concept of ANN. It would be much better if we are free from coding in the future…
I do consider all of the ideas you have introduced to your post. They are really convincing and can definitely work. Still, the posts are very brief for novices. Could you please lengthen them a little from next time? Thanks for the post.