Alexandre M. Tartakovsky

    flowchart
    A[Alexandre M. Tartakovsky]
    AC["Associated Concepts (25)"]
    AW["Authored Works (7)"]
    CA["Linked Co-Authors (8)"]
    CI["Linked Collaborating Institutions (10)"]
    A== dcterms:relation ==>AC
    AW== author ==>A
    AW== author ==>CA
    AW== affil ==>CI
    click AC "#associated-concepts"
    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

    NI["add incoming edge"]
    NO["add outgoing edge"]
    NI-- ? -->A
    A-- ? -->NO
    click NI "#add-incoming-edge"
    click NO "#add-outgoing-edge"
    style NI stroke-width:2px,stroke-dasharray: 5 5
    style NO stroke-width:2px,stroke-dasharray: 5 5

ORCiD

https://orcid.org/0000-0003-2375-318X

OpenAlex ID

https://openalex.org/A5058959716 (API record)

Associated Concepts [?]

• Physics
• Quantum mechanics
• Mathematics
• Thermodynamics
• Engineering
• Geology
• Computer science
• Chemistry
• Mechanics
• Materials science
• Geometry
• Geography
• Composite material
• Biology
• Organic chemistry
• Statistics
• Geotechnical engineering
• Mathematical analysis
• Porosity
• Ecology
• Artificial intelligence
• Porous medium
• Statistical physics
• Machine learning
• Applied mathematics

Authored Works

sorted by decreasing year, and then by display-name

• Physics-informed Gaussian process regression model for parameter estimation in groundwater models
• Physics-Informed Radial Basis Function Method for Transport Processes
• Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions
• Informing River Corridor Transport Modeling by Harnessing Community Data and Physics-Aware Machine Learning
• Hyporheic zone exchange and solute transport including memory functions for the river, hyporheic zone, and a boundary layer
• Differentiable modeling in Geosciences - Breaking down the imaginary barrier between machine learning and process-based modeling with differentiable modeling
• Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems

Linked Co-Authors

• Chaopeng Shen
• David A. Barajas-Solano
• H. V. Gupta
• James L. McCallum
• Kenneth C. Carroll
• Qi He
• Ricardo González‐Pinzón
• Timothy R. Ginn

Linked Collaborating Institutions

• New Mexico State University
• Pacific Northwest National Laboratory
• Pennsylvania State University
• University of Arizona
• University of Illinois, Urbana-Champaign
• University of Minnesota, Twin Cities
• University of New Mexico
• University of Tokyo, Japan
• University of Western Australia
• Washington State University

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.