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Sharath S. Girimaji

Sharath S. Girimaji

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
8400
World Ranking
5759
National Ranking
1608

Overview

Sharath S. Girimaji is affiliated with Texas A&M University in the United States. Their research chiefly spans the field of engineering, with significant contributions to computational mechanics, aerospace engineering, environmental engineering, statistical and nonlinear physics, and applied mathematics.

The scientist's work concentrates on several main topics, including:

  • Fluid Dynamics and Turbulent Flows
  • Wind and Air Flow Studies
  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Vibration Analysis
  • Model Reduction and Neural Networks
  • Gas Dynamics and Kinetic Theory
  • Plasma and Flow Control in Aerodynamics

Sharath S. Girimaji has authored multiple papers across respected scientific venues. Recent papers include:

  • "Characterization of coherent structures in turbulent wake of a sphere using partially averaged Navier-Stokes (PANS) simulations" (2020) in Physics of Fluids
  • "Toward Predictive RANS and SRS Computations of Turbulent External Flows of Practical Interest" (2021) in Archives of Computational Methods in Engineering
  • "Turbulence closure modeling with data-driven techniques: Investigation of generalizable deep neural networks" (2021) in arXiv (Cornell University)
  • "Turbulence closure modeling with machine learning: a foundational physics perspective" (2024) in New Journal of Physics
  • "Modeling and simulation of transitional Taylor-Green vortex flow with partially averaged Navier-Stokes equations" (2021) in Physical Review Fluids

The scientist frequently publishes in the following journals:

  • Physics of Fluids
  • Journal of Fluid Mechanics
  • arXiv (Cornell University)
  • Physical Review Fluids
  • Physical review. E

Collaborations are a notable aspect of Sharath S. Girimaji's work. Frequent co-authors include:

  • Filipe S. Pereira
  • Freddie Witherden
  • Fernando F. Grinstein
  • Daniel Israel
  • R. M. Rauenzahn

The breadth of Sharath S. Girimaji's research demonstrates a comprehensive engagement with both theoretical and applied fluid dynamics, with a specific emphasis on turbulence modeling and computational techniques enhanced by data-driven methods and machine learning approaches.

Best Publications

  • Partially-Averaged Navier-Stokes Model for Turbulence: A Reynolds-Averaged Navier-Stokes to Direct Numerical Simulation Bridging Method

    Sharath S. Girimaji

  • Assumed β-pdf Model for Turbulent Mixing: Validation and Extension to Multiple Scalar Mixing

    S. S. Girimaji

  • DNS and LES of decaying isotropic turbulence with and without frame rotation using lattice Boltzmann method

    Huidan Yu;Sharath S. Girimaji;Li-Shi Luo

  • Material-element deformation in isotropic turbulence

    S. S. Girimaji;S. B. Pope

  • Partially-averaged Navier Stokes Model for Turbulence: Implementation and Validation

    Sharath S. Girimaji;Khaled S. Abdol-Hamid

  • Theory of the lattice Boltzmann method: two-fluid model for binary mixtures.

    Li-Shi Luo;Sharath S. Girimaji

  • FULLY-EXPLICIT AND SELF-CONSISTENT ALGEBRAIC REYNOLDS STRESS MODELS

    Sharath S. Girimaji

  • LES of turbulent square jet flow using an MRT lattice Boltzmann model

    Huidan Yu;Li-Shi Luo;Sharath S. Girimaji

  • ANALYSIS AND MODELING OF SUBGRID SCALAR MIXING USING NUMERICAL DATA

    Sharath S. Girimaji;Ye Zhou

  • Straining and scalar dissipation on material surfaces in turbulence: Implications for flamelets

    P.K. Yeung;S.S. Girimaji;S.B. Pope

  • Near-Wall Formulation of the Partially Averaged Navier-Stokes Turbulence Model

    Branislav Basara;Siniša Krajnovic;Sharath Girimaji;Zoran Pavlovic

  • Partially averaged navier-stokes method for turbulence : Fixed point analysis and comparison with unsteady partially averaged navier-stokes

    Sharath S. Girimaji;Eunhwan Jeong;Ravi Srinivasan

  • A diffusion model for velocity gradients in turbulence

    S. S. Girimaji;S. B. Pope

  • Lattice Boltzmann model for binary mixtures.

    Li-Shi Luo;Sharath S. Girimaji

  • Lattice Boltzmann simulations of decaying homogeneous isotropic turbulence

    Huidan Yu;Sharath S. Girimaji;Li-Shi Luo

  • On the modeling of scalar diffusion in isotropic turbulence

    Sharath S. Girimaji

  • PANS Turbulence Model for Seamless Transition Between RANS and LES: Fixed-Point Analysis and Preliminary Results

    Sharath S. Girimaji;Ravi Srinivasan;Euhwan Jeong

  • Assumed PDF turbulence-chemistry closure with temperature-composition correlations

    R.A. Baurle;S.S. Girimaji

  • A Galilean invariant explicit algebraic Reynolds stress model for turbulent curved flows

    Sharath S. Girimaji

  • Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Codes

    Sharath Girimaji

  • Partially Averaged Navier–Stokes (PANS) Method for Turbulence Simulations—Flow Past a Square Cylinder

    Eunhwan Jeong;Sharath S. Girimaji

Frequent Co-Authors

Li-Shi Luo
Li-Shi Luo Old Dominion University
Fernando F. Grinstein
Fernando F. Grinstein Los Alamos National Laboratory
Stephen B. Pope
Stephen B. Pope Cornell University
Yassin A. Hassan
Yassin A. Hassan Texas A&M University
Sinisa Krajnovic
Sinisa Krajnovic Chalmers University of Technology
Charles G. Speziale
Charles G. Speziale Boston University
Rodney D. W. Bowersox
Rodney D. W. Bowersox Texas A&M University
Anthony J. C. Ladd
Anthony J. C. Ladd University of Florida
Helen L. Reed
Helen L. Reed Texas A&M University
Dimitris C. Lagoudas
Dimitris C. Lagoudas Texas A&M University

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