A Deep Learning-based Inversion Approach for Simultaneous Identification of a Contaminant Source and Highly Heterogeneous Hydraulic Conductivity Field

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ADS bibcode
2018AGUFM.S31E0554M
year
2018
Listed Authors
Mo, S.
Zabaras, N.
Listed Institutions
Nanjing University, Nanjing, China
Center for Informatics and Computational Science, University of Notre Dame, Notre Dame, IN, United States

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