G
Guzel D. Tartakovsky
Researcher at Pacific Northwest National Laboratory
Publications - 32
Citations - 870
Guzel D. Tartakovsky is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Vadose zone & Groundwater. The author has an hindex of 12, co-authored 29 publications receiving 537 citations. Previous affiliations of Guzel D. Tartakovsky include Environmental Molecular Sciences Laboratory.
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Journal ArticleDOI
Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems
Alexandre M. Tartakovsky,C. Ortiz Marrero,Paris Perdikaris,Guzel D. Tartakovsky,David A. Barajas-Solano +4 more
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Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport
TL;DR: It is demonstrated that the physics-informed deep neural networks used for estimating space-dependent hydraulic conductivity, hydraulic head, and concentration fields from sparse measurements are significantly more accurate than standard data-driven DNNs when the training set consists of sparse data.
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Effects of incomplete mixing on multicomponent reactive transport
TL;DR: In this article, a pore-and Darcy-scale study of multicomponent reactive transport for various Peclet (Pe) and Damkohler (Da) numbers is presented.
Posted Content
Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks
Alexandre M. Tartakovsky,Carlos Ortiz Marrero,Paris Perdikaris,Guzel D. Tartakovsky,David A. Barajas-Solano +4 more
TL;DR: A physics informed deep neural network method for estimating parameters and unknown physics (constitutive relationships) in partial differential equation (PDE) models and demonstrates that the proposed method is more accurate than state-of-the-art methods in the presence of measurement noise.
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Pore-scale and continuum simulations of solute transport micromodel benchmark experiments
Martinus Oostrom,Yashar Mehmani,Pedro Romero-Gomez,Youneng Tang,Haihu Liu,Hongkyu Yoon,Qinjun Kang,Vahid Joekar-Niasar,Matthew T. Balhoff,Thomas A. Dewers,Guzel D. Tartakovsky,E. A. Leist,Nancy J. Hess,William A. Perkins,Cynthia L. Rakowski,Marshall C. Richmond,John A. Serkowski,Charles J. Werth,Albert J. Valocchi,Thomas W. Wietsma,Changyong Zhang +20 more
TL;DR: In this paper, four sets of nonreactive solute transport experiments were conducted with micromodels, each set consisted of three experiments with one variable, i.e., flow velocity, grain diameter, pore-aspect ratio, and flow-focusing heterogeneity.