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B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the
  Response of Complex Dynamical Systems to Length-Variant Multiple Input
  Functions

B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions

28 November 2023
Zhihao Kong
Amirhossein Mollaali
Christian Moya
Na Lu
Guang Lin
ArXivPDFHTML

Papers citing "B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions"

2 / 2 papers shown
Title
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
Physics-informed Multiple-Input Operators for efficient dynamic response prediction of structures
Bilal Ahmed
Yuqing Qiu
Diab W. Abueidda
Waleed El-Sekelly
Tarek Abdoun
M. Mobasher
AI4CE
31
0
0
11 May 2025
DAE-PINN: A Physics-Informed Neural Network Model for Simulating
  Differential-Algebraic Equations with Application to Power Networks
DAE-PINN: A Physics-Informed Neural Network Model for Simulating Differential-Algebraic Equations with Application to Power Networks
Christian Moya
Guang Lin
AI4CE
PINN
54
37
0
09 Sep 2021
1