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2001.09292
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The role of surrogate models in the development of digital twins of dynamic systems
Applied Mathematical Modelling (AMM), 2020
25 January 2020
S. Chakraborty
S. Adhikari
R. Ganguli
SyDa
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Papers citing
"The role of surrogate models in the development of digital twins of dynamic systems"
19 / 19 papers shown
State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance
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Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages
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374
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Deep adaptive sampling for surrogate modeling without labeled data
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Keju Tang
Jiayu Zhai
Xiaoliang Wan
Chao Yang
208
8
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17 Feb 2024
Enhanced multi-fidelity modelling for digital twin and uncertainty quantification
Probabilistic Engineering Mechanics (PEM), 2023
A. Desai
N. Navaneeth
Sondipon Adhikari
Souvik Chakraborty
AI4CE
176
16
0
26 Jun 2023
Randomized prior wavelet neural operator for uncertainty quantification
Probabilistic Engineering Mechanics (PEM), 2023
Shailesh Garg
S. Chakraborty
UQCV
BDL
256
2
0
02 Feb 2023
Probabilistic machine learning based predictive and interpretable digital twin for dynamical systems
Tapas Tripura
A. Desai
S. Adhikari
S. Chakraborty
AI4CE
180
32
0
19 Dec 2022
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems
Applied Mathematical Modelling (Appl. Math. Model.), 2022
J. C. García-Merino
C. Calvo-Jurado
E. Martínez-Paneda
E. García-Macías
158
13
0
05 Dec 2022
Improving aircraft performance using machine learning: a review
Aerospace Science and Technology (AST), 2022
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
237
161
0
20 Oct 2022
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System
M. Rahman
Abid Khan
Sayeed Anowar
Md. Al Imran
Richa Verma
Dinesh Kumar
Kazuma Kobayashi
S. B. Alam
AI4CE
258
16
0
30 Sep 2022
Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems
A. Khan
Salauddin Omar
Nadia Mushtary
Richa Verma
Dinesh Kumar
S. B. Alam
SyDa
PINN
AI4CE
119
9
0
30 Sep 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Structural And Multidisciplinary Optimization (SMO), 2022
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
SyDa
AI4CE
262
311
0
26 Aug 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Björn Lütjens
Catherine H. Crawford
C. Watson
C. Hill
Dava Newman
AI4CE
225
15
0
23 Jul 2022
Decentralized digital twins of complex dynamical systems
Scientific Reports (Sci Rep), 2022
Omer San
Suraj Pawar
Adil Rasheed
AI4CE
190
16
0
07 Jul 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Mechanical systems and signal processing (MSSP), 2022
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
265
134
0
13 Apr 2022
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems
Mechanical systems and signal processing (MSSP), 2021
Shailesh Garg
S. Chakraborty
B. Hazra
182
24
0
01 Sep 2021
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
Neural Networks (NN), 2021
Sindre Stenen Blakseth
Adil Rasheed
T. Kvamsdal
Omer San
244
31
0
24 May 2021
Machine learning based digital twin for stochastic nonlinear multi-degree of freedom dynamical system
Probabilistic Engineering Mechanics (PEM), 2021
Shailesh Garg
Ankush Gogoi
S. Chakraborty
B. Hazra
AI4CE
175
21
0
29 Mar 2021
Transfer learning based multi-fidelity physics informed deep neural network
S. Chakraborty
PINN
OOD
AI4CE
382
208
0
19 May 2020
Machine learning based digital twin for dynamical systems with multiple time-scales
S. Chakraborty
S. Adhikari
AI4CE
140
99
0
12 May 2020
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