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Probabilistic machine learning based predictive and interpretable
  digital twin for dynamical systems

Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems

19 December 2022
Tapas Tripura
A. Desai
S. Adhikari
S. Chakraborty
    AI4CE
ArXivPDFHTML

Papers citing "Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems"

3 / 3 papers shown
Title
A Bayesian Framework for learning governing Partial Differential
  Equation from Data
A Bayesian Framework for learning governing Partial Differential Equation from Data
K. More
Tapas Tripura
R. Nayek
S. Chakraborty
6
10
0
08 Jun 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security
  and Privacy, and Future Prospects
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang
Zhou Su
Shaolong Guo
Minghui Dai
Tom H. Luan
Yiliang Liu
22
106
0
31 Jan 2023
An Energy Approach to the Solution of Partial Differential Equations in
  Computational Mechanics via Machine Learning: Concepts, Implementation and
  Applications
An Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications
E. Samaniego
C. Anitescu
S. Goswami
Vien Minh Nguyen-Thanh
Hongwei Guo
Khader M. Hamdia
Timon Rabczuk
X. Zhuang
PINN
AI4CE
145
1,333
0
27 Aug 2019
1