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The role of surrogate models in the development of digital twins of
  dynamic systems

The role of surrogate models in the development of digital twins of dynamic systems

25 January 2020
S. Chakraborty
S. Adhikari
R. Ganguli
    SyDa
ArXivPDFHTML

Papers citing "The role of surrogate models in the development of digital twins of dynamic systems"

12 / 12 papers shown
Title
Randomized prior wavelet neural operator for uncertainty quantification
Randomized prior wavelet neural operator for uncertainty quantification
Shailesh Garg
S. Chakraborty
UQCV
BDL
23
1
0
02 Feb 2023
Multielement polynomial chaos Kriging-based metamodelling for Bayesian
  inference of non-smooth systems
Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems
J. C. García-Merino
C. Calvo-Jurado
E. Martínez-Paneda
E. García-Macías
22
10
0
05 Dec 2022
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
36
93
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
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
13
15
0
30 Sep 2022
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
188
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
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
35
84
0
13 Apr 2022
Physics-integrated hybrid framework for model form error identification
  in nonlinear dynamical systems
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems
Shailesh Garg
S. Chakraborty
B. Hazra
46
20
0
01 Sep 2021
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
Transfer learning based multi-fidelity physics informed deep neural
  network
Transfer learning based multi-fidelity physics informed deep neural network
S. Chakraborty
PINN
OOD
AI4CE
12
163
0
19 May 2020
Machine learning based digital twin for dynamical systems with multiple
  time-scales
Machine learning based digital twin for dynamical systems with multiple time-scales
S. Chakraborty
S. Adhikari
AI4CE
13
82
0
12 May 2020
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
267
13,368
0
25 Aug 2014
1