Physics-Informed Neural Networks (PINNs) augment traditional neural architectures by embedding the governing equations of physical systems directly into the loss function. Instead of solely minimising ...
Operator learning is key to leveraging artificial intelligence for scientific discovery by enabling the solution of partial differential equations that express core principles of physical modeling.
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