Nanzhe Wang

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 16

Top Topics

Partial Differential Equations

Top Venues

J. Comput. Phys.

Publications

Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang
Deep learning based closed-loop optimization of geothermal reservoir production. CoRR (2022)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. J. Comput. Phys. 466 (2022)
Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. CoRR (2022)
Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. J. Comput. Phys. 436 (2021)
Hao Xu, Dongxiao Zhang, Nanzhe Wang
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. J. Comput. Phys. 445 (2021)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. 445 (2021)
Rui Xu, Dongxiao Zhang, Nanzhe Wang
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. CoRR (2021)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. CoRR (2021)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. CoRR (2020)
Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR (2020)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. CoRR (2020)
Hao Xu, Dongxiao Zhang, Nanzhe Wang
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. CoRR (2020)
Miao Rong, Dongxiao Zhang, Nanzhe Wang
A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR (2020)
Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. CoRR (2020)
Nanzhe Wang, Haibin Chang, Dongxiao Zhang
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. CoRR (2020)
Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li
Deep Learning of Subsurface Flow via Theory-guided Neural Network. CoRR (2019)