2 papers
nlin.AO2022
Digital twins of nonlinear dynamical systems
Ling-Wei Kong, Yang Weng, Bryan Glaz +2
We articulate the design imperatives for machine-learning based digital twins for nonlinear dynamical systems subject to external driving, which can be used to monitor the ``health…
cs.LG2021
Adaptable Hamiltonian neural networks
Chen-Di Han, Bryan Glaz, Mulugeta Haile +1
The rapid growth of research in exploiting machine learning to predict chaotic systems has revived a recent interest in Hamiltonian Neural Networks (HNNs) with physical constraints…