Hewei Tang

According to our database, Hewei Tang authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions.

Sipeng Chen, Junliang Liu, Hewei Tang, Shibo Li

CoRR, May, 2026

2025

FFINO: Factorized Fourier Improved Neural Operator for Modeling Multiphase Flow in Underground Hydrogen Storage.

Tao Wang, Hewei Tang

CoRR, June, 2025

Multi-Physics Simulations via Coupled Fourier Neural Operator.

Shibo Li, Tao Wang, Yifei Sun, Hewei Tang

CoRR, January, 2025

2024

GEOSX.

Randolph Richard Settgast, Benjamin Curtice Corbett, Sergey Klevtsov, François P. Hamon, Christopher S. Sherman, Matteo Cusini, Thomas Gazzola, William R. Tobin, Joshua A. White, Nicola Castelletto, Andrea Borio, Andrea Franceschini, Jian Huang, Brian M. Han, Herve Gross, Jacques Franc, Antoine Mazuyer, Julien R. Besset, Aurélien Citrain, Arturo Vargas, Matthias A. Cremon, Yue Hao, Mark Khait, Xavier Lacoste, Shabnam J. Semnani, Stefano Frambati, Mamadou N'diaye, Sy-Tuan Nguyen, Hannah Mairs Morgan, Cameron Mikel Crook, Tao Jin, Algiane Froehly, Michael Homel, Victor Antonio Paludetto Magri, Isaac Ju, Melvin Rey, Stefan Povolny, Quan M. Bui, Hewei Tang, Julia T. Camargo, Gerasimos Chourdakis, Hui Wu, Guotong Ren, Li Yang, Taeho Kim, Sohail Waziri, Chris White, Pengcheng Fu, Alexandre Lapene, Bertrand Thierry, Fan Fei, Jie Meng, Lionel Untereiner, Oluwatobi Quadri Raji, Mohammad Karimi-Fard, Gaetan Fuss, Jixian Huang, Matteo Frigo, Paloma Martinez, Dickson Kachuma, Pavel Tomin, Thomas J. Byer, Terry Ligocki, Igor Shovkun, Milad Bader, Peter B. Robinson, Rasim Hasanzade, Arnaud Dudes, Andre Macieira Braga Costa, Jeanne Pellerin, Ryan M. Aronson, Daniel Osei-Kuffuor

Dataset, October, 2024

GEOS: A performance portable multi-physics simulation framework for subsurface applications.

Randolph Richard Settgast, Benjamin Curtice Corbett, Sergey Klevtsov, François P. Hamon, Christopher S. Sherman, Matteo Cusini, Thomas Gazzola, William R. Tobin, Joshua A. White, Nicola Castelletto, Andrea Borio, Andrea Franceschini, Jian Huang, Brian M. Han, Herve Gross, Jacques Franc, Antoine Mazuyer, Julien R. Besset, Aurélien Citrain, Arturo Vargas, Matthias A. Cremon, Yue Hao, Mark Khait, Xavier Lacoste, Shabnam J. Semnani, Stefano Frambati, Mamadou N'diaye, Sy-Tuan Nguyen, Hannah Mairs Morgan, Cameron Mikel Crook, Tao Jin, Algiane Froehly, Michael Homel, Victor Antonio Paludetto Magri, Isaac Ju, Melvin Rey, Stefan Povolny, Hui Wu, Quan M. Bui, Hewei Tang, Julia T. Camargo, Gerasimos Chourdakis, Wu Hui, Guotong Ren, Li Yang, Taeho Kim, Sohail Waziri, Chris White, Pengcheng Fu, Alexandre Lapene, Bertrand Thierry, Fan Fei, Jie Meng, Lionel Untereiner, Oluwatobi Quadri Raji, Mohammad Karimi-Fard, Gaetan Fuss, Jixian Huang, Matteo Frigo, Paloma Martinez, Dickson Kachuma, Pavel Tomin, Thomas J. Byer, Terry Ligocki, Igor Shovkun, Milad Bader, Peter B. Robinson, Rasim Hasanzade, Arnaud Dudes, Andre Macieira Braga Costa, Jeanne Pellerin, Ryan M. Aronson, Daniel Osei-Kuffuor

Dataset, September, 2024

2023

Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage.

Hewei Tang, Qingkai Kong, Joseph P. Morris

CoRR, 2023

2022

Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR.

Hewei Tang, Pengcheng Fu, Honggeun Jo, Su Jiang, Christopher S. Sherman, François P. Hamon, Nicholas A. Azzolina, Joseph P. Morris

CoRR, 2022

2021

Machine learning-based porosity estimation from spectral decomposed seismic data.

Honggeun Jo, Yongchae Cho, Michael J. Pyrcz, Hewei Tang, Pengcheng Fu

CoRR, 2021

A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage.

Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris

CoRR, 2021