Questions tagged [physics-informed-neural-networks]
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5 questions
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Test functions in VPINN
In VPINN, test functions are taken for every element stating test function is non zero over element and zero elsewhere
what will be the function that satisfies the above statement for triangular ...
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Choosing test functions in VPINN
I am working on a problem in which my domain is discretized into triangular elements. How to choose test functions for triangular elements?
My understanding of test function is that test function ...
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How to Implement Analytical Magnetic Field Equations into a Physics-Informed Neural Network (PINN) in PyTorch?
I'm working on a project that involves modeling the magnetic field around Europa, one of Jupiter's moons, using a Physics-Informed Neural Network (PINN) in PyTorch. My goal is to implement analytical ...
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Neural Network for Couette Flow
I'm trying to implement a simple Neural Network for Couette Flow. I'm working with a Fully Connected Neural Network. I'm finding that the convergence of the Neural Network is highly dependent on the ...
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Is it best practice to normalise the input data before passing it inside a NN, or to perform the normalisation within the NN(Gradient Scope)
I have a NN for PINNs, which takes an 2D input and provides an 1D output. I need to normalise the input data(lets say between -1 to 1). I can think of two approaches where
Approach 1: one approach ...
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