Nanzhe Wang

According to our database, Nanzhe Wang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data.

Nanzhe Wang, Louis J. Durlofsky

CoRR, 2024

2022

Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network.

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

J. Comput. Phys., 2022

Deep learning based closed-loop optimization of geothermal reservoir production.

Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang

CoRR, 2022

Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network.

Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang

CoRR, 2022

2021

Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data.

Hao Xu, Dongxiao Zhang, Nanzhe Wang

J. Comput. Phys., 2021

Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow.

Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang

J. Comput. Phys., 2021

Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

J. Comput. Phys., 2021

Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network.

Rui Xu, Dongxiao Zhang, Nanzhe Wang

CoRR, 2021

2020

Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method.

Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan

CoRR, 2020

Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling.

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

CoRR, 2020

A Lagrangian Dual-based Theory-guided Deep Neural Network.

Miao Rong, Dongxiao Zhang, Nanzhe Wang

CoRR, 2020

Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example.

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

CoRR, 2020

Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network.

Nanzhe Wang, Haibin Chang, Dongxiao Zhang

CoRR, 2020

2019

Deep Learning of Subsurface Flow via Theory-guided Neural Network.

Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li

CoRR, 2019