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)

Machine learning-based porosity estimation from spectral decomposed seismic data. - Honggeun Jo; Yongchae Cho; Michael J. Pyrcz; Hewei Tang; Pengcheng Fu (CoRR, 2021)

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)

Multi-fidelity Fourier Neural Operator for Fast Modeling of Large-Scale Geological Carbon Storage. - Hewei Tang; Qingkai Kong; Joseph P. Morris (CoRR, 2023)

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; et al. (Zenodo, 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; et al. (Zenodo, 2024)

Multi-Physics Simulations via Coupled Fourier Neural Operator. - Shibo Li; Tao Wang; Yifei Sun; Hewei Tang (CoRR, 2025)

FFINO: Factorized Fourier Improved Neural Operator for Modeling Multiphase Flow in Underground Hydrogen Storage. - Tao Wang; Hewei Tang (CoRR, 2025)