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Neural modal ordinary differential equations: Integrating physics-based
  modeling with neural ordinary differential equations for modeling
  high-dimensional monitored structures

Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures

16 July 2022
Zhilu Lai
Wei Liu
Xudong Jian
Kiran Bacsa
Limin Sun
Eleni Chatzi
    AI4CE
ArXivPDFHTML

Papers citing "Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures"

3 / 3 papers shown
Title
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
13
9
0
31 Oct 2023
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical
  Systems with Uncertainty
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty
Wei Liu
Zhilu Lai
Kiran Bacsa
Eleni Chatzi
PINN
BDL
AI4CE
20
33
0
16 Oct 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
424
0
10 Mar 2020
1