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2012.13343
Cited By
Physics guided machine learning using simplified theories
The Physics of Fluids (Phys. Fluids), 2020
18 December 2020
Suraj Pawar
Omer San
Burak Aksoylu
Adil Rasheed
T. Kvamsdal
PINN
AI4CE
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Papers citing
"Physics guided machine learning using simplified theories"
22 / 22 papers shown
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Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
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Francesco Scibilia
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16 Apr 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen
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Chris Rackauckas
Tirthankar Roy
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Binayak Mohanty
K. Lawson
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10 Jan 2023
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
Haakon Robinson
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22 Sep 2022
Sparse deep neural networks for modeling aluminum electrolysis dynamics
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Adil Rasheed
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13 Sep 2022
Decentralized digital twins of complex dynamical systems
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Suraj Pawar
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A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method
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Yu Xiang
Guannan Zhang
Liwei Hu
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Wenyong Wang
216
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23 Jun 2022
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations
The Physics of Fluids (Phys. Fluids), 2022
Rui Zhang
Tailin Wu
Qi Meng
Yue Wang
Rongchan Zhu
Bingguang Chen
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Tie-Yan Liu
306
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20 Jun 2022
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
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Sindre Stenen Blakseth
Adil Rasheed
T. Kvamsdal
Omer San
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202
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07 Jun 2022
Physics Guided Machine Learning for Variational Multiscale Reduced Order Modeling
SIAM Journal on Scientific Computing (SISC), 2022
Shady E. Ahmed
Omer San
Adil Rasheed
T. Iliescu
A. Veneziani
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178
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25 May 2022
Physics guided neural networks for modelling of non-linear dynamics
Neural Networks (NN), 2022
Haakon Robinson
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227
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13 May 2022
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy
Nicholus R. Clinkinbeard
Nicole N. Hashemi
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144
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14 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
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Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
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272
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13 Apr 2022
Image features of a splashing drop on a solid surface extracted using a feedforward neural network
The Physics of Fluids (Phys. Fluids), 2022
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
132
14
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24 Jan 2022
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
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Sindre Stenen Blakseth
Adil Rasheed
T. Kvamsdal
Omer San
246
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24 May 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
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Adil Rasheed
T. Kvamsdal
242
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26 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Neural Information Processing Systems (NeurIPS), 2021
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Alexandros Kalousis
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389
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25 Feb 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
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10 Mar 2020
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