2 papers
cs.AI2024
Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems
Félix Chavelli, Zi-Yu Khoo, Dawen Wu +2
The modeling of dynamical systems is a pervasive concern for not only describing but also predicting and controlling natural phenomena and engineered systems. Current data-driven a…
cs.LG2023
Separable Hamiltonian Neural Networks
Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low +1
Hamiltonian neural networks (HNNs) are state-of-the-art models that regress the vector field of a dynamical system under the learning bias of Hamilton's equations. A recent observa…