Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites-Reference-Cited by-同舟云学术

Physics-informed surrogate modeling for supporting climate resilience at groundwater contamination sites

Published:2024-01 Issue: Volume:183 Page:105508
ISSN:0098-3004
Container-title:Computers & Geosciences
language:en
Short-container-title:Computers & Geosciences

Author:

Meray Aurelien^ORCID,Wang Lijing^ORCID,Kurihana Takuya,Mastilovic Ilijana,Praveen Satyarth,Xu Zexuan,Memarzadeh Milad,Lavin Alexander,Wainwright Haruko

Funder

US Department of Energy Office of Environmental Management

Basic Energy Sciences

U.S. Department of Energy

Lawrence Berkeley National Laboratory

US Department of Energy Artificial Intelligence and Technology Office

Office of Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

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3. Efficient river hydrodynamics modelling in realistic river systems using a Fourier neural operator-based network;Journal of Hydrology;2024-06

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