Feb 24, 2022 · Advances in machine learning algorithms enable learning POD-based dynamics from data and making accurate and fast predictions of dynamical ...

Mar 30, 2023 · Advances in machine learning algorithms enable learning POD-based dynamics from data and making accurate and fast predictions of dynamical ...

Aug 17, 2022 · Advances in machine learning algorithms enable learn- ing POD-based dynamics from data and making accurate and fast predictions of dynamical.

Feb 24, 2022 · Advances in machine learning algorithms enable learning POD-based dynamics from data and making accurate and fast predictions of dynamical ...

HBNODE is extended for learning dynamics of time-varying coefficients generated by the POD analysis on training snapshots constructed by solving full-order ...

Oct 22, 2024 · Advances in machine learning algorithms enable learning POD-based dynamics from data and making accurate and fast predictions of dynamical ...

Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs. Justin Baker, E. Cherkaev, A. Narayan, Bao Wang. 2022, arXiv.org. Locally Regularized Neural ...

Learning Proper Orthogonal Decomposition of Complex Dynamics Using Heavy-ball Neural ODEs. https://doi.org/10.1007/s10915-023-02176-8.

Learning pod of complex dynamics using heavy-ball neural odes. J Baker, E Cherkaev, A Narayan, B Wang. arXiv preprint arXiv:2202.12373, 2022. 4, 2022. An ...

We employ the recently developed heavy-ball neural ODE (HBNODE) [59], an extension of NODE [9], to learn the temporal coefficients of the POD of complex ...