144 citations · 635 across the 40 of their papers we have counts for
5 papers · 1 filter
Impact of Airways Geometry on Transport of Gases to Blood
Ali Saab, Leila Issa, Salah Zeineddine +2
Topological structure of bronchial trees affects transport of gases and aerosols in the respiratory system. We start by providing a quantitative assessment of the ability of the al…
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties
Zitong Zhou, Nicholas Zabaras, Daniel M. Tartakovsky
Identifying the heterogeneous conductivity field and reconstructing the contaminant release history are key aspects of subsurface remediation. Achieving these two goals with limite…
Thermal experiments for fractured rock characterization: theoretical analysis and inverse modeling
Zitong Zhou, Delphine Roubinet, Daniel M. Tartakovsky
Field-scale properties of fractured rocks play crucial role in many subsurface applications, yet methodologies for identification of the statistical parameters of a discrete fractu…
Transfer Learning on Multi-Fidelity Data
Dong H. Song, Daniel M. Tartakovsky
Neural networks (NNs) are often used as surrogates or emulators of partial differential equations (PDEs) that describe the dynamics of complex systems. A virtually negligible compu…
Information-geometry of physics-informed statistical manifolds and its use in data assimilation
Francesca Boso, Daniel M. Tartakovsky
The data-aware method of distributions (DA-MD) is a low-dimension data assimilation procedure to forecast the behavior of dynamical systems described by differential equations. It…