2026 Alexandre M. Tartakovsky: Engineering and Technology Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	43	6067	5851	1692	1566	277	8632

Overview

Alexandre M. Tartakovsky is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily lies within the field of Engineering, with notable contributions in subfields such as Statistical and Nonlinear Physics, Computational Mechanics, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty, and Artificial Intelligence.

The research topics covered in Tartakovsky's work include:

Model Reduction and Neural Networks
Probabilistic and Robust Engineering Design
Gaussian Processes and Bayesian Inference
Reservoir Engineering and Simulation Methods
Groundwater flow and contamination studies
Meteorological Phenomena and Simulations
Advanced battery technologies research

Significant recent publications by Tartakovsky include:

Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems, 2020, Water Resources Research
Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport, 2020, Advances in Water Resources
Differentiable modelling to unify machine learning and physical models for geosciences, 2023, Nature Reviews Earth & Environment
Physics-Informed Neural Network Method for Forward and Backward Advection-Dispersion Equations, 2021, Water Resources Research
Learning unknown physics of non-Newtonian fluids, 2021, Physical Review Fluids

Frequent co-authors associated with Tartakovsky's work include:

David A. Barajas-Solano
Qizhi He
Yifei Zong
Ramakrishna Tipireddy
Panos Stinis

Their research outputs have appeared in various publication venues, with recurring contributions in:

arXiv (Cornell University)
Journal of Computational Physics
Computer Methods in Applied Mechanics and Engineering
Water Resources Research
SSRN Electronic Journal

Best Publications

Modeling and simulation of pore-scale multiphase fluid flow and reactive transport in fractured and porous media

Paul Meakin;Paul Meakin;Alexandre M. Tartakovsky

485
Citations
Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems

A. M. Tartakovsky;C. Ortiz Marrero;Paris Perdikaris;G. D. Tartakovsky

431
Citations
Modeling of surface tension and contact angles with smoothed particle hydrodynamics

Alexandre M. Tartakovsky;Paul Meakin

403
Citations
Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport

Qi Zhi He;David Barajas-Solano;Guzel Tartakovsky;Alexandre M. Tartakovsky

341
Citations
Differentiable modelling to unify machine learning and physical models for geosciences

Unknown

340
Citations
Simulations of reactive transport and precipitation with smoothed particle hydrodynamics

Alexandre M. Tartakovsky;Paul Meakin;Timothy D. Scheibe;Rogene M. Eichler West

295
Citations
Mixing-induced precipitation: Experimental study and multiscale numerical analysis

Alexandre M. Tartakovsky;George D. Redden;Peter C. Lichtner;Timothy D. Scheibe

280
Citations
Flow intermittency, dispersion, and correlated continuous time random walks in porous media

Pietro de Anna;Pietro de Anna;Tanguy Le Borgne;Marco Dentz;Alexandre M. Tartakovsky

273
Citations
Pore scale modeling of immiscible and miscible fluid flows using smoothed particle hydrodynamics

Alexandre M. Tartakovsky;Paul Meakin

258
Citations
A smoothed particle hydrodynamics model for miscible flow in three-dimensional fractures and the two-dimensional Rayleigh-Taylor instability

Alexandre M. Tartakovsky;Paul Meakin

229
Citations
A smoothed particle hydrodynamics model for reactive transport and mineral precipitation in porous and fractured porous media

Alexandre M. Tartakovsky;Paul Meakin;Timothy D. Scheibe;Brian D. Wood

195
Citations
Intercomparison of 3D pore-scale flow and solute transport simulation methods

Xiaofan Yang;Yashar Mehmani;William A. Perkins;Andrea Pasquali

172
Citations
On breakdown of macroscopic models of mixing-controlled heterogeneous reactions in porous media

I. Battiato;D.M. Tartakovsky;A.M. Tartakovsky;T. Scheibe

171
Citations
Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow

Alexandre M. Tartakovsky;Alexander Panchenko

164
Citations
Hybrid models of reactive transport in porous and fractured media

Ilenia Battiato;Daniel M. Tartakovsky;Alexandre M. Tartakovsky;Timothy D. Scheibe

155
Citations
A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy

Wenxiao Pan;Dongsheng Li;Alexandre M. Tartakovsky;Said Ahzi;Said Ahzi

145
Citations
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

143
Citations
EFFECTS OF INCOMPLETE MIXING ON MULTICOMPONENT REACTIVE TRANSPORT

Alexandre M. Tartakovsky;Guzel D. Tartakovsky;Timothy D. Scheibe

137
Citations
Smoothed particle hydrodynamics and its applications for multiphase flow and reactive transport in porous media

Alexandre M. Tartakovsky;Nathaniel Trask;K. Pan;Bruce D. Jones

130
Citations
Pore-scale study of capillary trapping mechanism during CO2 injection in geological formations

Uditha C. Bandara;Alexandre M. Tartakovsky;Bruce J. Palmer

122
Citations
Hybrid Simulations of Reaction-Diffusion Systems in Porous Media

A. M. Tartakovsky;D. M. Tartakovsky;T. D. Scheibe;P. Meakin

112
Citations
Stochastic langevin model for flow and transport in porous media.

Alexandre M. Tartakovsky;Daniel M. Tartakovsky;Paul Meakin

112
Citations