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I need some advice on how to obtain better results for the Sod problem. I have looked through the FAQ on how to train the network better when training fails. I've introduced loss weights, increased the number of points in the domain and increased the number of iterations. Unfortunately, I am not able to capture the proper solutions to this problem. Each solution to rho,u, and p experiences too much dissipation or solutions have random jumps. I have attached my code below. Any advice moving forward would be greatly appreciated.
Hello!
I hope all is well.
I need some advice on how to obtain better results for the Sod problem. I have looked through the FAQ on how to train the network better when training fails. I've introduced loss weights, increased the number of points in the domain and increased the number of iterations. Unfortunately, I am not able to capture the proper solutions to this problem. Each solution to rho,u, and p experiences too much dissipation or solutions have random jumps. I have attached my code below. Any advice moving forward would be greatly appreciated.
Euler_Eq.py.zip
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