Physics‐Informed Machine Learning Method for Large‐Scale Data Assimilation Problems
Author:
Affiliation:
1. Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland WA USA
2. Department of Civil and Environmental Engineering University of Illinois Urbana‐Champaign Urbana IL USA
Funder
Office of Science
Publisher
American Geophysical Union (AGU)
Subject
Water Science and Technology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021WR031023
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5. Application of the pilot point method to the identification of aquifer transmissivities
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