Nanzhe Wang - RankMe

19 papers Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Machine learning for sustainable geoenergy: uncertainty, physics and decision-ready inference. CoRR Hannah P. Menke, Ahmed H. Elsheikh, Lingli Wei, Nanzhe Wang, Andreas Busch
2024	J	`jnl`	Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data. CoRR Nanzhe Wang, Louis J. Durlofsky
2022	J	`jnl`	A Lagrangian dual-based theory-guided deep neural network. Complex Intell. Syst. Miao Rong, Dongxiao Zhang, Nanzhe Wang
2022	J	`jnl`	Deep learning based closed-loop optimization of geothermal reservoir production. CoRR Nanzhe Wang, Haibin Chang, Xiangzhao Kong, Martin O. Saar, Dongxiao Zhang
2022	J	`jnl`	Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. CoRR Nanzhe Wang, Qinzhuo Liao, Haibin Chang, Dongxiao Zhang
2022	J	`jnl`	Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. J. Comput. Phys. Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2021	J	`jnl`	Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. J. Comput. Phys. Hao Xu, Dongxiao Zhang, Nanzhe Wang
2021	J	`jnl`	Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2021	J	`jnl`	Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method. J. Comput. Phys. Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2021	J	`jnl`	Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network. CoRR Rui Xu, Dongxiao Zhang, Nanzhe Wang
2021	J	`jnl`	Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow. J. Comput. Phys. Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
2020	J	`jnl`	A Lagrangian Dual-based Theory-guided Deep Neural Network. CoRR Miao Rong, Dongxiao Zhang, Nanzhe Wang
2020	J	`jnl`	Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data. CoRR Hao Xu, Dongxiao Zhang, Nanzhe Wang
2020	J	`jnl`	Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling. CoRR Nanzhe Wang, Haibin Chang, Dongxiao Zhang
2020	J	`jnl`	Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method. CoRR Yuntian Chen, Dou Huang, Dongxiao Zhang, Junsheng Zeng, Nanzhe Wang, Haoran Zhang, Jinyue Yan
2020	J	`jnl`	Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow. CoRR Rui Xu, Dongxiao Zhang, Miao Rong, Nanzhe Wang
2019	J	`jnl`	Deep Learning of Subsurface Flow via Theory-guided Neural Network. CoRR Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li