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Deep learning of subsurface flow via theory-guided neural network

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Year: 2020
Type: article
Source: Journal of Hydrology
DOI: 10.1016/j.jhydrol.2020.124700
Authors: Nanzhe Wang, Dongxiao Zhang, Haibin Chang, Heng Li
Institutions: Peking University, Southern University of Science and Technology, Peng Cheng Laboratory
Language: English

Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, National Science and Technology Major Project, National Major Science and Technology Projects of China
Awards: G1259610514, G1874586923, G2430576034, G4681179500, G5139792610, G5461348632, G6510708923
OpenAlex ID: W3006689658
FWCI: 14.36
Cites: 44
Cited by: 340
Related to: 10
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