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Use of Multifidelity Training Data and Transfer Learning for Efficient
  Construction of Subsurface Flow Surrogate Models

Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models

23 April 2022
Su Jiang
L. Durlofsky
    AI4CE
ArXivPDFHTML

Papers citing "Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models"

6 / 6 papers shown
Title
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion
  Prediction and Uncertainty Reduction
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction
Su Jiang
Chuyang Liu
D. Dwivedi
AI4CE
21
0
0
26 Oct 2024
Accelerated training of deep learning surrogate models for surface
  displacement and flow, with application to MCMC-based history matching of CO2
  storage operations
Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
Yifu Han
François P. Hamon
L. Durlofsky
OOD
AI4CE
22
1
0
20 Aug 2024
Optimization of geological carbon storage operations with multimodal
  latent dynamic model and deep reinforcement learning
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning
Zhongzheng Wang
Yuntian Chen
Guodong Chen
Dongxiao Zhang
AI4CE
24
0
0
07 Jun 2024
Multifidelity linear regression for scientific machine learning from
  scarce data
Multifidelity linear regression for scientific machine learning from scarce data
Elizabeth Qian
Dayoung Kang
Vignesh Sella
Anirban Chaudhuri
AI4CE
79
1
0
13 Mar 2024
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale
  Geological Carbon Storage
Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage
Hewei Tang
Qingkai Kong
Joseph P. Morris
AI4CE
19
10
0
17 Aug 2023
Feature-adjacent multi-fidelity physics-informed machine learning for
  partial differential equations
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations
Wenqian Chen
P. Stinis
OOD
AI4CE
14
7
0
21 Mar 2023
1