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Publications

2021

Data-driven discovery of coarse-grained equations

Bakarji, Joseph, and Daniel M. Tartakovsky. 2021. “Data-Driven Discovery of Coarse-Grained Equations.” JOURNAL OF COMPUTATIONAL PHYSICS 434. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2021.110219

GINNs: Graph-Informed Neural Networks for multiscale physics

Hall, Eric J., Soren Taverniers, Markos A. Katsoulakis, and Daniel M. Tartakovsky. 2021. “GINNs: Graph-Informed Neural Networks for Multiscale Physics.” JOURNAL OF COMPUTATIONAL PHYSICS 433. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2021.110192

Hybrid models of chemotaxis with application to leukocyte migration.

Lu, Hannah, Kimoon Um, and Daniel M. Tartakovsky. 2021. “Hybrid Models of Chemotaxis with Application to Leukocyte Migration.” Journal of Mathematical Biology 82 (4): 23.

10.1007/s00285-021-01581-7

Lagrangian models of particle-laden flows with stochastic forcing: Monte Carlo, moment equations, and method of distributions analyses

Dominguez-Vazquez, Daniel, Gustaaf B. Jacobs, and Daniel M. Tartakovsky. 2021. “Lagrangian Models of Particle-Laden Flows with Stochastic Forcing: Monte Carlo, Moment Equations, and Method of Distributions Analyses.” PHYSICS OF FLUIDS 33 (3). AMER INST PHYSICS.

10.1063/5.0039787

METHOD OF DISTRIBUTIONS FOR SYSTEMS WITH STOCHASTIC FORCING

Rutjens, Rik J. L., Gustaaf B. Jacobs, and Daniel M. Tartakovsky. 2021. “METHOD OF DISTRIBUTIONS FOR SYSTEMS WITH STOCHASTIC FORCING.” INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION 11 (2). BEGELL HOUSE INC: 83–104.

10.1615/Int.J.UncertaintyQuantification.2020031940

2020

Tensor methods for the Boltzmann-BGK equation

Boelens, Arnout M. P., Daniele Venturi, and Daniel M. Tartakovsky. 2020. “Tensor Methods for the Boltzmann-BGK Equation.” JOURNAL OF COMPUTATIONAL PHYSICS 421. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2020.109744

Solute dispersion in bifurcating networks

Zimmerman, Robert A., and Daniel M. Tartakovsky. 2020. “Solute Dispersion in Bifurcating Networks.” JOURNAL OF FLUID MECHANICS 901. CAMBRIDGE UNIV PRESS.

10.1017/jfm.2020.573

Estimation of distributions via multilevel Monte Carlo with stratified sampling

Taverniers, Soren, and Daniel M. Tartakovsky. 2020. “Estimation of Distributions via Multilevel Monte Carlo with Stratified Sampling.” JOURNAL OF COMPUTATIONAL PHYSICS 419. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2020.109572

Markov chain Monte Carlo with neural network surrogates: application to contaminant source identification

Zhou, Zitong, and Daniel M. Tartakovsky. 2020. “Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification.” STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. SPRINGER.

10.1007/s00477-020-01888-9

Accelerated Multilevel Monte Carlo With Kernel-Based Smoothing and Latinized Stratification

Taverniers, Soren, Sebastian B. M. Bosma, and Daniel M. Tartakovsky. 2020. “Accelerated Multilevel Monte Carlo With Kernel-Based Smoothing and Latinized Stratification.” WATER RESOURCES RESEARCH 56 (9). AMER GEOPHYSICAL UNION.

10.1029/2019WR026984

Lagrangian dynamic mode decomposition for construction of reduced-order models of advection-dominated phenomena

Lu, Hannah, and Daniel M. Tartakovsky. 2020. “Lagrangian Dynamic Mode Decomposition for Construction of Reduced-Order Models of Advection-Dominated Phenomena.” JOURNAL OF COMPUTATIONAL PHYSICS 407. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2020.109229

Modified immersed boundary method for flows over randomly rough surfaces

Kwon, Chunsong, and Daniel M. Tartakovsky. 2020. “Modified Immersed Boundary Method for Flows over Randomly Rough Surfaces.” JOURNAL OF COMPUTATIONAL PHYSICS 406. ACADEMIC PRESS INC ELSEVIER SCIENCE.

10.1016/j.jcp.2019.109195

Analytical model for gravity segregation of horizontal multiphase flow in porous media

Rabinovich, Avinoam, Pavel Bedrikovetsky, and Daniel M. Tartakovsky. 2020. “Analytical Model for Gravity Segregation of Horizontal Multiphase Flow in Porous Media.” PHYSICS OF FLUIDS 32 (4). AMER INST PHYSICS.

10.1063/5.0003325

Bayesian Update and Method of Distributions: Application to Leak Detection in Transmission Mains

Alawadhi, Abdulrahman, and Daniel M. Tartakovsky. 2020. “Bayesian Update and Method of Distributions: Application to Leak Detection in Transmission Mains.” WATER RESOURCES RESEARCH 56 (2). AMER GEOPHYSICAL UNION.

10.1029/2019WR025879

Data-Informed Method of Distributions for Hyperbolic Conservation Laws

Boso, Francesca, and Daniel M. Tartakovsky. 2020. “Data-Informed Method of Distributions for Hyperbolic Conservation Laws .” SIAM Journal on Scientific Computing 42 (1). SIAM.

10.1137/19M1260773

PREDICTION ACCURACY OF DYNAMIC MODE DECOMPOSITION

Lu, Hannah, and Daniel M. Tartakovsky. 2020. “PREDICTION ACCURACY OF DYNAMIC MODE DECOMPOSITION.” SIAM JOURNAL ON SCIENTIFIC COMPUTING 42 (3). SIAM PUBLICATIONS: A1639–A1662.

10.1137/19M1259948

Method of distributions for quantification of geologic uncertainty in flow simulations

Yang, Hyung Jun, Francesca Boso, Hamdi A. Tchelepi, and Daniel M. Tartakovsky. 2020. “Method of Distributions for Quantification of Geologic Uncertainty in Flow Simulations.” Method of Distributions for Quantification of Geologic Uncertainty in Flow Simulations.

10.1029/2020WR027643

Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation

Yang, Lun, Peng Wang, and Daniel M. Tartakovsky. 2020. “Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation.” SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION 8 (3). SIAM PUBLICATIONS: 1118–38.

10.1137/19M1263376

2019

Distribution-Based Global Sensitivity Analysis in Hydrology

Ciriello, Valentina, Ilaria Lauriola, and Daniel M. Tartakovsky. 2019. “Distribution-Based Global Sensitivity Analysis in Hydrology.” WATER RESOURCES RESEARCH. AMER GEOPHYSICAL UNION.

10.1029/2019WR025844

Probabilistic Forecast of Single-Phase Flow in Porous Media With Uncertain Properties

Yang, Hyung Jun, Francesca Boso, Hamdi A. Tchelepi, and Daniel M. Tartakovsky. 2019. “Probabilistic Forecast of Single-Phase Flow in Porous Media With Uncertain Properties.” WATER RESOURCES RESEARCH. AMER GEOPHYSICAL UNION.

10.1029/2019WR026090

Efficient gHMC Reconstruction of Contaminant Release History

Barajas-Solano, David A., Francis J. Alexander, Marian Anghel, and Daniel M. Tartakovsky. 2019. “Efficient GHMC Reconstruction of Contaminant Release History.” FRONTIERS IN ENVIRONMENTAL SCIENCE 7. FRONTIERS MEDIA SA.

10.3389/fenvs.2019.00149

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