Time integration of differential equations traditionally proceeds in a strictly sequential fashion, which limits the exploitation of modern high-performance computing architectures. Parallel-in-time ...
Physics informed neural networks (PINNs), a type of machine learning approach, can be used to find the solution of differential equations by including all of the physics into the loss function and ...
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