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View Code? Open in Web Editor NEWPhysics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
License: MIT License
Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
License: MIT License
Hello,
I see in your example photo that the amount of the loss is being presented. However, in your shared code script there is no Loss...
How can I check the loss value?
Dear Sir
I found that when the Reynolds number becomes larger (Re=1000, nu=0.001), the effect is very poor from the drawn image.
I don’t understand why this is happening. Could it be that the equation is no longer suitable?
thanks for replying
Thanks for sharing such nice work. Have you reported your job through any article?? Because I cannot find any article related to this job!
Is it possible to solve a cavity with aspect ratio different than 1. Most researchers also investigate 1.5 and 4 at moderate Re 400? If it is possible, where do I make changes? your help will be deeply appreciated. Thanks.
Hi,
Thank you very much for this code. I am using this code to explore the topic of PINN. I am facing issues with importing scipy.optimize when i try to run on visual studio code. Am i missing to install anything? any advice?
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