Christopher S. Sherman

According to our database, Christopher S. Sherman authored at least 3 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

Randolph R. Settgast, Ryan M. Aronson, Julien R. Besset, Andrea Borio, Quan M. Bui, Thomas J. Byer, Nicola Castelletto, Aurélien Citrain, Benjamin C. Corbett, James Corbett, Philippe Cordier, Matthias A. Cremon, Cameron M. Crook, Matteo Cusini, Fan Fei, Stefano Frambati, Jacques Franc, Andrea Franceschini, Matteo Frigo, Pengcheng Fu, Thomas Gazzola, Herve Gross, François P. Hamon, Brian M. Han, Yue Hao, Rasim Hasanzade, Michael Homel, Jian Huang, Tao Jin, Isaac Ju, Dickson Kachuma, Mohammad Karimi-Fard, Taeho Kim, Sergey Klevtsov, Alexandre Lapene, Victor Antonio Paludetto Magri, Antoine Mazuyer, Mamadou N'diaye, Daniel Osei-Kuffuor, Stefan Povolny, Guotong Ren, Shabnam J. Semnani, Christopher S. Sherman, Melvin Rey, Hamdi A. Tchelepi, William R. Tobin, Pavel Tomin, Lionel Untereiner, Arturo Vargas, Sohail Waziri, Xianhuan Wen, Joshua A. White, Hui Wu

J. Open Source Softw., 2024

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

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