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Uncertainty Quantification of Locally Nonlinear Dynamical Systems using
  Neural Networks

Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks

Journal of computing in civil engineering (J. Comput. Civ. Eng.), 2020
11 August 2020
Subhayan De
ArXiv (abs)PDFHTML

Papers citing "Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks"

3 / 3 papers shown
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading
  Hysteretic Systems
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Subhayan De
P. Brewick
322
0
0
25 Apr 2023
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using
  DeepONets
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONetsComputational Mechanics (Comput. Mech.), 2022
Subhayan De
Matthew J. Reynolds
M. Hassanaly
Ryan N. King
Alireza Doostan
AI4CE
333
47
0
03 Apr 2022
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and
  their Interface under Uncertainty using Machine Learning
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine LearningJournal of engineering mechanics (J. Eng. Mech.), 2021
Subhayan De
B. Hai
Alireza Doostan
M. Bause
95
2
0
30 Mar 2021
1
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