World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
56
Citations
12559
World Ranking
732
National Ranking
362

Engineering and Technology

D-Index
56
Citations
12639
World Ranking
2800
National Ranking
854

Research.com Recognitions

  • 2020 - SIAM Fellow For fundamental contributions in developing innovative multiscale analysis and computations with applications to subsurface modeling and geosciences.
  • 2017 - Fellow of the American Mathematical Society For contributions to the field of multiscale finite-element methods with applications to porous-media fluid flow.

Overview

Yalchin Efendiev is affiliated with Texas A&M University in the United States. Their research primarily focuses on multiscale modeling and computational mathematics, with significant application areas including engineering and computer science. The scientist's main fields of study are Engineering and Computer Science, while subfields include Computational Theory and Mathematics, Computational Mechanics, Mechanics of Materials, Numerical Analysis, and Ocean Engineering.

The research topics covered by Efendiev reflect a deep engagement with advanced mathematical and numerical methods. These topics include:

  • Advanced Mathematical Modeling in Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Composite Material Mechanics
  • Differential Equations and Numerical Methods
  • Enhanced Oil Recovery Techniques
  • Model Reduction and Neural Networks
  • Lattice Boltzmann Simulation Studies

Efendiev has contributed extensively to the scientific literature, with numerous recent publications. Selected papers include:

  • "Learning macroscopic parameters in nonlinear multiscale simulations using nonlocal multicontinua upscaling techniques," 2020, Journal of Computational Physics
  • "Computational multiscale methods for quasi-gas dynamic equations," 2021, Journal of Computational Physics
  • "Contrast-independent partially explicit time discretizations for multiscale flow problems," 2021, Journal of Computational Physics
  • "Multicontinuum homogenization and its relation to nonlocal multicontinuum theories," 2022, Journal of Computational Physics
  • "Efficient hybrid explicit-implicit learning for multiscale problems," 2022, Journal of Computational Physics

The scientist's frequent coauthors include Eric T. Chung, Wing Tat Leung, Thomas Y. Hou, Sai-Mang Pun, and Zecheng Zhang. Publication outlets where Efendiev's work appears notably include:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • Mathematics
  • Applied Mathematics and Computation
  • Multiscale Modeling and Simulation

In addition to journal articles, Efendiev has published at least one book titled Multiscale Model Reduction released in 2023 by Springer Nature.

Their professional recognition includes several awards and fellowships. Notably, Efendiev was named a SIAM Fellow in 2020 for contributions to multiscale analysis and computations relevant to subsurface modeling and geosciences. Earlier, in 2017, Efendiev was designated a Fellow of the American Mathematical Society for work on multiscale finite-element methods applied to porous-media fluid flow.

Best Publications

  • Multiscale Finite Element Methods: Theory and Applications

    Thomas Hou;Yalchin Efendiev

  • Generalized multiscale finite element methods (GMsFEM)

    Yalchin Efendiev;Yalchin Efendiev;Juan Galvis;Juan Galvis;Thomas Y. Hou

  • Convergence of a Nonconforming Multiscale Finite Element Method

    Yalchin R. Efendiev;Thomas Y. Hou;Xiao-Hui Wu

  • Analysis of upscaling absolute permeability

    X.H. Wu;Y. Efendiev;Thomas Y. Hou

  • Multiscale finite element methods for high-contrast problems using local spectral basis functions

    Yalchin Efendiev;Juan Galvis;Xiao-Hui Wu

  • Accurate multiscale finite element methods for two-phase flow simulations

    Y. Efendiev;V. Ginting;T. Hou;R. Ewing

  • Domain Decomposition Preconditioners for Multiscale Flows in High-Contrast Media

    Juan Galvis;Yalchin R. Efendiev

  • Multiscale Finite Element Methods for Nonlinear Problems and Their Applications

    Y. Efendiev;T. Y. Hou;V. Ginting

  • Preconditioning Markov Chain Monte Carlo Simulations Using Coarse-Scale Models

    Y. Efendiev;T. Hou;W. Luo

  • Domain Decomposition Preconditioners for Multiscale Flows in High Contrast Media: Reduced Dimension Coarse Spaces

    Juan Galvis;Yalchin Efendiev

  • Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods

    Eric Chung;Yalchin Efendiev;Thomas Y. Hou

  • Constraint Energy Minimizing Generalized Multiscale Finite Element Method

    Eric T. Chung;Yalchin Efendiev;Wing Tat Leung

  • Multiphysics and Multiscale Methods for Modeling Fluid Flow Through Naturally Fractured Carbonate Karst Reservoirs

    Peter Popov;Guan Qin;Linfeng Bi;Yalchin Efendiev

  • Mixed Generalized Multiscale Finite Element Methods and Applications

    Eric T. Chung;Yalchin R. Efendiev;Chak Shing Lee

  • Robust domain decomposition preconditioners for abstract symmetric positive definite bilinear forms

    Yalchin Efendiev;Juan Galvis;Raytcho Lazarov;Joerg Willems

  • Multiscale Modeling and Simulations of Flows in Naturally Fractured Karst Reservoirs

    Peter Popov;Yalchin Efendiev;Guan Qin

  • An adaptive GMsFEM for high-contrast flow problems

    Eric T. Chung;Yalchin Efendiev;Guanglian Li

  • Multiscale Methods for Modeling Fluid Flow Through Naturally Fractured Carbonate Karst Reservoirs

    Peter Popov;Guan Qin;Linfeng Bi;Yalchin Efendiev

  • An efficient two-stage Markov chain Monte Carlo method for dynamic data integration

    Y. Efendiev;A. Datta-Gupta;V. Ginting;X. Ma

  • An Efficient Two-Stage Sampling Method for Uncertainty Quantification in History Matching Geological Models

    Xianlin Ma;Mishal Al-Harbi;Akhil Datta-Gupta;Yalchin Efendiev

Frequent Co-Authors

Eric T. Chung
Eric T. Chung Chinese University of Hong Kong
Richard E. Ewing
Richard E. Ewing Texas A&M University
Raytcho Lazarov
Raytcho Lazarov Texas A&M University
Victor M. Calo
Victor M. Calo Curtin University
Akhil Datta-Gupta
Akhil Datta-Gupta Texas A&M University
Bani K. Mallick
Bani K. Mallick Texas A&M University
Thomas Y. Hou
Thomas Y. Hou California Institute of Technology
Chris R. Johnson
Chris R. Johnson University of Utah
Mary F. Wheeler
Mary F. Wheeler The University of Texas at Austin
Louis J. Durlofsky
Louis J. Durlofsky Stanford University

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