Alexandre M. Tartakovsky

发表

Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input

Emil M. Constantinescu, Zhenyu Huang, Peng Wang, 2015, SIAM/ASA J. Uncertain. Quantification.

A novel method for modeling Neumann and Robin boundary conditions in smoothed particle hydrodynamics

Cristina H. Amon, Alexandre M. Tartakovsky, Emily M. Ryan, 2010, Comput. Phys. Commun..

Engineering structural robustness in power grid networks susceptible to community desynchronization

J. Nathan Kutz, Alexandre M. Tartakovsky, Daniel Dylewsky, 2019, Applied Network Science.

Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression pdf

Renke Huang, Ramakrishna Tipireddy, David A. Barajas-Solano, 2019, ArXiv.

Physics-informed Machine Learning Method for Forecasting and Uncertainty Quantification of Partially Observed and Unobserved States in Power Grids

Ramakrishna Tipireddy, Alexandre M. Tartakovsky, A. Tartakovsky, 2018, HICSS.

UQ Methods for HPDA and Cybersecurity Models, Data, and Use Cases

Ramakrishna Tipireddy, Xiaofan Yang, Jian Yin, 2015 .

Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids

Daniel M. Tartakovsky, Alexandre M. Tartakovsky, G. Lin, 2010, J. Comput. Phys..

Dimension reduction method for ODE fluid models

Kim F. Ferris, Alexander Panchenko, Alexandre M. Tartakovsky, 2011, J. Comput. Phys..

Erratum: A Comparison of Closures for Stochastic Advection-Diffusion Equations

Alexandre M. Tartakovsky, Kenneth D. Jarman, 2015, SIAM/ASA J. Uncertain. Quantification.

Hybrid numerical methods for multiscale simulations of subsurface biogeochemical processes

Daniel M. Tartakovsky, Alexandre M. Tartakovsky, Paul Meakin, 2007 .

Hybrid Numerical Methods for Multiscale Simulations of Biochemical Processes

Karen Schuchardt, Timothy D. Scheibe, Bruce J. Palmer, 2007 .

Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence pdf

Xiu Yang, Alexandre M. Tartakovsky, Guzel Tartakovsky, 2018, ArXiv.

Stochastic Basis Adaptation and Spatial Domain Decomposition for Partial Differential Equations with Random Coefficients

Ramakrishna Tipireddy, Alexandre M. Tartakovsky, Panos Stinis, 2018, SIAM/ASA J. Uncertain. Quantification.

Benchmark Study of 3D Pore-scale Flow and Solute Transport Simulation Methods

Kyungjoo Kim, Martin Geier, Manfred Krafczyk, 2015 .

A Comparison of Closures for Stochastic Advection-Diffusion Equations

Alexandre M. Tartakovsky, Kenneth D. Jarman, A. Tartakovsky, 2013, SIAM/ASA J. Uncertain. Quantification.

A comparative study of physics-informed neural network models for learning unknown dynamics and constitutive relations pdf

Paris Perdikaris, Ramakrishna Tipireddy, Alexandre M. Tartakovsky, 2019, ArXiv.

Basis adaptation and domain decomposition for steady-state partial differential equations with random coefficients

Ramakrishna Tipireddy, Alexandre M. Tartakovsky, Panos Stinis, 2017, J. Comput. Phys..

Learning Unknown Physics of non-Newtonian Fluids pdf

Paris Perdikaris, Alexandre M. Tartakovsky, Brandon Reyes, 2020, ArXiv.

Mechanistically-Based Field-Scale Models of Uranium Biogeochemistry from Upscaling Pore-Scale Experiments and Models

Alexandre M. Tartakovsky, Brian D. Wood, Joe Seymour, 2007 .

Simulations of reactive transport and precipitation with smoothed particle hydrodynamics

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2007, J. Comput. Phys..

Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients

David A. Barajas-Solano, Alexandre M. Tartakovsky, A. Tartakovsky, 2019, J. Comput. Phys..

Discrete Models of Fluids: Spatial Averaging, Closure, and Model Reduction

Alexander Panchenko, Kevin Cooper, Alexandre M. Tartakovsky, 2014, SIAM J. Appl. Math..

Hybrid multiscale simulation of a mixing-controlled reaction

Xiaofan Yang, Karen Schuchardt, Khushbu Agarwal, 2014 .

Physical and Numerical Models of Pore-Scale Trapping of CO2

Alexandre M. Tartakovsky, Martinus Oostrom, Alain Bonneville, 2011 .

Solving differential equations with unknown constitutive relations as recurrent neural networks pdf

Alexandre M. Tartakovsky, Enoch Yeung, Panos Stinis, 2017, ArXiv.

Smoothed particle hydrodynamics continuous boundary force method for Navier-Stokes equations subject to a Robin boundary condition

Jie Bao, Alexandre M. Tartakovsky, Wenxiao Pan, 2013, J. Comput. Phys..

Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics

Kyungjoo Kim, Alexandre M. Tartakovsky, Michael L. Parks, 2017, J. Comput. Phys..

Probability and Cumulative Density Function Methods for the Stochastic Advection-Reaction Equation

David A. Barajas-Solano, Alexandre M. Tartakovsky, 2018, SIAM/ASA J. Uncertain. Quantification.

Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence

David A. Barajas-Solano, Alexandre M. Tartakovsky, Xiu Yang, 2018, J. Comput. Phys..

A Many-Task Parallel Approach for Multiscale Simulations of Subsurface Flow and Reactive Transport

Xiaofan Yang, Karen Schuchardt, Khushbu Agarwal, 2014 .

Simulation of film and droplet flow on wide aperture fractures using Smoothed Particle Hydrodynamics

Alexandre M. Tartakovsky, Tobias Geyer, Jannes Kordilla, 2012 .

Simulations of Subsurface Flow and Transport at the Pore and Continuum Scales

Karen Schuchardt, Alexandre M. Tartakovsky, Yilin Fang, 2010 .

Intercomparison of 3D pore-scale flow and solute transport simulation methods

Kyungjoo Kim, Martin Geier, Manfred Krafczyk, 2016 .

Modeling of Friction Stir Welding (FSW) process with Smooth Particle Hydrodynamics (SPH)

Alexandre M. Tartakovsky, Mohammad A. Khaleel, Glenn J. Grant, 2006 .

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks pdf

Alexandre M. Tartakovsky, Enoch Yeung, Panos Stinis, 2018, J. Comput. Phys..

Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow: Surface tension and contact line dynamics

Alexander Panchenko, Alexandre M. Tartakovsky, A. Tartakovsky, 2016, J. Comput. Phys..

A Component-Based Framework for Smoothed Particle Hydrodynamics Simulations of Reactive Fluid Flow in Porous Media

Timothy D. Scheibe, Bruce J. Palmer, Alexandre M. Tartakovsky, 2010, Int. J. High Perform. Comput. Appl..

Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models

Ramakrishna Tipireddy, Alexandre M. Tartakovsky, David A Barajas-Solano, 2019, J. Comput. Phys..

Smoothed particle hydrodynamics and its applications for multiphase flow and reactive transport in porous media

Bruce D. Jones, Alexandre M. Tartakovsky, Nathaniel Trask, 2015, Computational Geosciences.

Numerical Studies of Three-dimensional Stochastic Darcy’s Equation and Stochastic Advection-Diffusion-Dispersion Equation

Alexandre M. Tartakovsky, G. Lin, A. Tartakovsky, 2010, J. Sci. Comput..

Exact PDF equations and closure approximations for advective-reactive transport

Daniel M. Tartakovsky, Daniele Venturi, Alexandre M. Tartakovsky, 2013, J. Comput. Phys..

CDF Solutions of Buckley-Leverett Equation with Uncertain Parameters

Daniel M. Tartakovsky, P. Wang, Alexandre M. Tartakovsky, 2012, Multiscale Model. Simul..

Smoothed particle hydrodynamics non-Newtonian model for ice-sheet and ice-shelf dynamics

Alexandre M. Tartakovsky, Joe J. Monaghan, W. Pan, 2011, J. Comput. Phys..

Hybrid Simulations of Reaction-Diffusion Systems in Porous Media

Daniel M. Tartakovsky, Timothy D. Scheibe, Alexandre M. Tartakovsky, 2008, SIAM J. Sci. Comput..

An efficient, high-order multi-element probabilistic collocation method on sparse grids for three-dimensional flow in random porous media

Grier C. I. Lin, Alexandre M. Tartakovsky, 2007 .

Hybrid Multiscale Finite Volume Method for Advection-Diffusion Equations Subject to Heterogeneous Reactive Boundary Conditions

David A. Barajas-Solano, Alexandre M. Tartakovsky, A. Tartakovsky, 2015, Multiscale Model. Simul..

A conservative level set method for N-phase flows with a free-energy-based surface tension model

Alexandre M. Tartakovsky, Amanda A. Howard, A. Tartakovsky, 2020, J. Comput. Phys..

Physics-informed CoKriging model of a redox flow battery pdf

Alexandre M. Tartakovsky, Amanda A. Howard, A. Tartakovsky, 2021, Journal of Power Sources.

Learning viscoelasticity models from indirect data using deep neural networks

Eric Darve, Alexandre M. Tartakovsky, Kailai Xu, 2021, Computer Methods in Applied Mechanics and Engineering.

Learning Unknown Physics of non-Newtonian Fluids pdf

Paris Perdikaris, Alexandre M. Tartakovsky, Amanda A. Howard, 2020, Physical Review Fluids.

Physics Information Aided Kriging using Stochastic Simulation Models

Alexandre M. Tartakovsky, Xiu Yang, Guzel Tartakovsky, 2021, SIAM J. Sci. Comput..

Time-dependent stochastic basis adaptation for uncertainty quantification pdf

Ramakrishna Tipireddy, Alexandre M. Tartakovsky, Panos Stinis, 2021, ArXiv.

Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems pdf

David A. Barajas-Solano, Alexandre M. Tartakovsky, Yu-Hong Yeung, 2021, ArXiv.

Immiscible front evolution in randomly heterogeneous porous media

Alexandre M. Tartakovsky, S. P. Neuman, Shlomo P. Neuman, 2003 .

Hybrid models of reactive transport in porous and fractured media

Daniel M. Tartakovsky, Timothy D. Scheibe, Alexandre M. Tartakovsky, 2011 .

Dissipative particle dynamics model for colloid transport in porous media

Alexandre M. Tartakovsky, Wenxiao Pan, A. Tartakovsky, 2013 .

Hydrodynamic dispersion in thin channels with micro-structured porous walls

Alexandre M. Tartakovsky, Ilenia Battiato, Mart Oostrom, 2018, Physics of Fluids.

Pore-Scale Smoothed Particle Hydrodynamics Model for Reactive Transport and Mineral Precipitation.

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2006 .

Pore-scale study of capillary trapping mechanism during CO2 injection in geological formations

Bruce J. Palmer, Alexandre M. Tartakovsky, Uditha C. Bandara, 2011 .

Incomplete mixing and reactions with fractional dispersion

Alexandre M. Tartakovsky, David A. Benson, Diogo Bolster, 2012 .

Effective pore‐scale dispersion upscaling with a correlated continuous time random walk approach

Alexandre M. Tartakovsky, T. Le Borgne, Diogo Bolster, 2011 .

Dispersion controlled by permeable surfaces: surface properties and scaling

Alexandre M. Tartakovsky, Ilenia Battiato, Bowen Ling, 2016, Journal of Fluid Mechanics.

Smoothed Particle Hydrodynamics Model of Non-Aqueous Phase Liquid Flow and Dissolution

Alexandre M. Tartakovsky, Anderson L. Ward, Paul Meakin, 2008 .

Ensemble Kalman Filter for Dynamic State Estimation of Power Grids Stochastically Driven by Time-Correlated Mechanical Input Power

Alexandre M. Tartakovsky, Zhenyu Huang, Zhenyu Huang, 2018, IEEE Transactions on Power Systems.

A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy

Alexandre M. Tartakovsky, Moe Khaleel, Said Ahzi, 2013 .

Effect of spatial concentration fluctuations on effective kinetics in diffusion‐reaction systems

Alexandre M. Tartakovsky, T. Le Borgne, Diogo Bolster, 2012 .

Learning Parameters and Constitutive Relationships with Physics Informed Deep Neural Networks

Paris Perdikaris, Alexandre M. Tartakovsky, David Barajas-Solano, 2018, 1808.03398.

Pore-Scale Model for Reactive Transport and Biomass Growth

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2009 .

Smoothed particle hydrodynamics model for pore-scale flow, reactive transport and mineral precipitation.

Timothy D. Scheibe, Prasad Saripalli, Alexandre M. Tartakovsky, 2006 .

A smoothed particle hydrodynamics model for reactive transport and mineral precipitation in porous and fractured porous media

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2007 .

DIMENSION REDUCTION NUMERICAL CLOSURE METHOD FOR ADVECTION-DIFFUSION-REACTION SYSTEMS

Timothy D. Scheibe, Alexandre M. Tartakovsky, 2011 .

Simulation of Unsaturated Flow in Complex Fractures Using Smoothed Particle Hydrodynamics

Alexandre M. Tartakovsky, Paul Meakin, P. Meakin, 2005 .

Reactive transport and biomass growth in porous media

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2007 .

Computational modeling of transport limitations in li-air batteries

Kim F. Ferris, Alexandre M. Tartakovsky, Emily M. Ryan, 2013 .

Localization of Mean Flow and Apparent Transmissivity Tensor for Bounded Randomly Heterogeneous Aquifers

Daniel M. Tartakovsky, Alberto Guadagnini, Alexandre M. Tartakovsky, 2002 .

EFFECTS OF INCOMPLETE MIXING ON MULTICOMPONENT REACTIVE TRANSPORT

Timothy D. Scheibe, Alexandre M. Tartakovsky, Timothy Scheibe, 2009 .

The filamentary structure of mixing fronts and its control on reaction kinetics in porous media flows

Alexandre M. Tartakovsky, Tanguy Le Borgne, Marco Dentz, 2014 .

Pore-scale simulation of microbial growth using a genome-scale metabolic model: Implications for Darcy-scale reactive transport

Timothy D. Scheibe, Alexandre M. Tartakovsky, Radhakrishnan Mahadevan, 2012 .

A smoothed-particle hydrodynamics model for ice-sheet and ice-shelf dynamics

Alexandre M. Tartakovsky, Wenxiao Pan, Joseph John Monaghan, 2012 .

Investigating the Effects of Anisotropic Mass Transport on Dendrite Growth in High Energy Density Lithium Batteries

Kim F. Ferris, Alexandre M. Tartakovsky, Emily M. Ryan, 2016 .

Lagrangian simulations of unstable gravity-driven flow of fluids with variable density in randomly heterogeneous porous media

Alexandre M. Tartakovsky, A. Tartakovsky, 2010 .

Divergence of solutions to solute transport moment equations

Alexandre M. Tartakovsky, Kenneth D. Jarman, 2008 .

An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media

Guang Lin, Alexandre M. Tartakovsky, A. Tartakovsky, 2009 .

Unsaturated flow in heterogeneous soils with spatially distributed uncertain hydraulic parameters

Daniel M. Tartakovsky, Alberto Guadagnini, Alexandre M. Tartakovsky, 2003 .

Pore-scale modeling of the reactive transport of chromium in the cathode of a solid oxide fuel cell

Cristina H. Amon, Alexandre M. Tartakovsky, Kurtis P. Recknagle, 2011 .

Uncertainty Quantification in Scale‐Dependent Models of Flow in Porous Media

Alberto Guadagnini, Alexandre M. Tartakovsky, M. Panzeri, 2017 .

FLUID FLOW, SOLUTE MIXING AND PRECIPITATION IN POROUS MEDIA

Timothy D. Scheibe, Alexandre M. Tartakovsky, Yilin Fang, 2006 .

Effects of Peclet number on pore‐scale mixing and channeling of a tracer and on directional advective porosity

Alexandre M. Tartakovsky, S. P. Neuman, Shlomo P. Neuman, 2008 .

A smoothed particle hydrodynamics model for droplet and film flow on smooth and rough fracture surfaces

Alexandre M. Tartakovsky, Jannes Kordilla, A. Tartakovsky, 2013 .

Transient Flow in a Heterogeneous Vadose Zone with Uncertain Parameters

Daniel M. Tartakovsky, Alexandre M. Tartakovsky, Luis C. García-Naranjo, 2004 .

Stochastic analysis of immiscible displacement of the fluids with arbitrary viscosities and its dependence on support scale of hydrological data

Alexandre M. Tartakovsky, Paul Meakin, Hai Huang, 2004 .

Mixing‐induced precipitation: Experimental study and multiscale numerical analysis

Timothy D. Scheibe, Alexandre M. Tartakovsky, Paul Meakin, 2008 .

PDF estimation for power grid systems via sparse regression

David A. Barajas-Solano, Alexandre M. Tartakovsky, Xiu Yang, 2017, 1708.08378.

Pore-scale simulations of drainage of heterogeneous and anisotropic porous media

Alexandre M. Tartakovsky, Anderson L. Ward, Paul Meakin, 2007 .

Simulation of the interplay between resident and infiltrating water in partially saturated porous media

Alexandre M. Tartakovsky, Brian Berkowitz, A. Tartakovsky, 2009 .

On breakdown of macroscopic models of mixing-controlled heterogeneous reactions in porous media

Daniel M. Tartakovsky, Timothy D. Scheibe, Alexandre M. Tartakovsky, 2009 .