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 ...
Inverse spectral theory addresses the fundamental question of how to reconstruct a differential operator from the knowledge of its spectral characteristics. Central to this theory are operators such ...
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