03:51
5. Running the cavity case with the embedded Keras-based NN in OpenFOAM.
03:08
4. Modifying the base icoFoam to embed the neural network.
02:29
3. Preliminaries. Copying the base icoFoam and including the Python libraries
03:49
2. Step 1: Setting up, training and saving the neural network.
01:11
1. Installing the required conda environment.
01:02
0. Embedding a Keras-based neural network in OpenFOAM with pythonPal. Introduction.
07:20
pythonPal4foam. Tutorial. Embedding Python in OpenFOAM.
02:42
What's happening within the neural network? Linear elastic Hookean law
02:35
Presentation. Simon means simulation.
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About
Hi!
My name is Simon, and I am an engineer (surprise, surprise).
I have worked in the numerical simulation field for over 10 years.
Initially, I was interested in applying CFD to oil & gas problems. Then, I became interested in solid mechanics, as well.
Currently, I am working on taking advantage of machine learning models in computational mechanics (CFD + solid mechanics).
First, I wanted to use this channel to explain the procedures I developed during my PhD.
However, I also hope to be able to explain concepts/tips/tricks I have been finding over the years.
Hopefully, It will be helpful to you.
Please, feel free to reach out :D
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