Augmented physics-informed Hamiltonian networks for dynamical systems under external interactions
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Neural networks have emerged as powerful tools across various disciplines, yet their application in deciphering complex physical laws remains underexplored. Addressing this, we introduce augmented physics-informed Hamiltonian networks (A-PIHNs), designed to ad... ...