Marco Fanizza

AI models learn complex physical dynamics with new geometric and permutation-invariant methods

Researchers are developing novel neural network architectures to better model complex physical dynamics. One approach, RO-HNN, combines Hamiltonian mechanics with model order reduction to handle high-dimensional systems…