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Machine learning based digital twin for dynamical systems with multiple
  time-scales

Machine learning based digital twin for dynamical systems with multiple time-scales

12 May 2020
S. Chakraborty
S. Adhikari
    AI4CE
ArXivPDFHTML

Papers citing "Machine learning based digital twin for dynamical systems with multiple time-scales"

7 / 7 papers shown
Title
Point Cloud Data Simulation and Modelling with Aize Workspace
Point Cloud Data Simulation and Modelling with Aize Workspace
B. Mocialov
Eirik Eythorsson
Reza Parseh
Hoang Tran
Vegard Flovik
3DPC
19
0
0
19 Jan 2023
Through-life Monitoring of Resource-constrained Systems and Fleets
Through-life Monitoring of Resource-constrained Systems and Fleets
Felipe J. Montana
A. Hartwell
W. Jacobs
V. Kadirkamanathan
A. Mills
Tom S. Clark
22
1
0
03 Jan 2023
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning
  Enabling Technologies
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
SyDa
AI4CE
27
189
0
26 Aug 2022
Decentralized digital twins of complex dynamical systems
Decentralized digital twins of complex dynamical systems
Omer San
Suraj Pawar
Adil Rasheed
AI4CE
41
11
0
07 Jul 2022
Machine learning based digital twin for stochastic nonlinear
  multi-degree of freedom dynamical system
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system
Shailesh Garg
Ankush Gogoi
S. Chakraborty
B. Hazra
AI4CE
30
15
0
29 Mar 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing
  toward digital twin revolution
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Omer San
Adil Rasheed
T. Kvamsdal
48
50
0
26 Mar 2021
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
159
1,344
0
27 Aug 2019
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