World's Best Scientists 2026 revealed!
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Mechanical and Aerospace Engineering
USA
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
97
Citations
38600
World Ranking
80
National Ranking
42

Physics

D-Index
91
Citations
34212
World Ranking
2160
National Ranking
1103

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in United States Leader Award
  • 2018 - Member of the National Academy of Engineering For contributions to turbulence small-scale dynamics, large-eddy simulations, wind farm fluid dynamics, and leadership in the fluid dynamics community.
  • 2003 - Fellow of the American Society of Mechanical Engineers
  • 1998 - Fellow of American Physical Society (APS) Citation For major contributions to understanding the multifractal nature of turbulent energy dissipation, energy, the transfer of energy across scales, and subgridscale models

Overview

Charles Meneveau is affiliated with Johns Hopkins University in the United States. Their research spans multiple areas within engineering and environmental science, with a significant focus on fluid dynamics and turbulent flows.

The primary fields of study for Meneveau include:

  • Engineering
  • Environmental Science

Within these broader areas, Meneveau's work addresses several subfields such as:

  • Computational Mechanics
  • Aerospace Engineering
  • Environmental Engineering
  • Statistical and Nonlinear Physics
  • Ocean Engineering

The scientist's core research topics concentrate on fluid dynamics, wind energy, and particle dynamics among others. Specific topics include:

  • Fluid Dynamics and Turbulent Flows
  • Wind and Air Flow Studies
  • Wind Energy Research and Development
  • Fluid Dynamics and Vibration Analysis
  • Particle Dynamics in Fluid Flows
  • Aerodynamics and Fluid Dynamics Research
  • Aerodynamics and Acoustics in Jet Flows

Selected recent publications illustrate the scientist's contributions to these fields:

  • "A mathematical framework for estimating risk of airborne transmission of COVID-19 with application to face mask use and social distancing" (2020), Physics of Fluids
  • "A vortex sheet based analytical model of the curled wake behind yawed wind turbines" (2021), Journal of Fluid Mechanics
  • "Neural operator prediction of linear instability waves in high-speed boundary layers" (2022), Journal of Computational Physics
  • "Reconstructing turbulent velocity and pressure fields from under-resolved noisy particle tracks using physics-informed neural networks" (2023), Experiments in Fluids
  • "Two-point stress-strain-rate correlation structure and non-local eddy viscosity in turbulent flows" (2021), Journal of Fluid Mechanics

Meneveau frequently collaborates with several researchers, including:

  • Tamer A. Zaki
  • Dennice F. Gayme
  • Ghanesh Narasimhan
  • Patricio Clark Di Leoni
  • Hanxun Yao

The scientist publishes extensively, with a high volume of work appearing in venues such as:

  • arXiv (Cornell University)
  • Journal of Fluid Mechanics
  • Physical Review Fluids
  • Journal of Renewable and Sustainable Energy
  • Renewable Energy

Honors awarded to Meneveau include:

  • Member of the National Academy of Engineering, 2018, for contributions to turbulence small-scale dynamics, large-eddy simulations, wind farm fluid dynamics, and leadership in the fluid dynamics community
  • Fellow of the American Society of Mechanical Engineers, 2003
  • Fellow of American Physical Society (APS), 1998, for major contributions to understanding multifractal nature of turbulent energy dissipation and subgridscale models

Best Publications

  • Scale-Invariance and Turbulence Models for Large-Eddy Simulation

    Charles Meneveau;Joseph Katz

  • A Lagrangian dynamic subgrid-scale model of turbulence

    Charles Meneveau;Thomas S. Lund;William H. Cabot

  • Simple multifractal cascade model for fully developed turbulence.

    C. Meneveau;K. R. Sreenivasan

  • Grand challenges in the science of wind energy

    Paul Veers;Katherine Dykes;Eric Lantz;Stephan Barth

  • The multifractal nature of turbulent energy dissipation

    Charles Meneveau;K. R. Sreenivasan

  • Large eddy simulation study of fully developed wind-turbine array boundary layers

    Marc Calaf;Charles Meneveau;Johan Meyers

  • On the properties of similarity subgrid-scale models as deduced from measurements in a turbulent jet

    Shewen Liu;Charles Meneveau;Joseph Katz

  • A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows

    Elie R. Bou-Zeid;Charles Meneveau;Marc Parlange;Marc Parlange

  • A power-law flame wrinkling model for LES of premixed turbulent combustion Part I: non-dynamic formulation and initial tests

    Fabrice Charlette;Charles Meneveau;Denis Veynante

  • A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence

    Yi Li;Eric Perlman;Minping Wan;Yunke Yang

  • A scale-dependent dynamic model for large-eddy simulation: application to a neutral atmospheric boundary layer

    Fernando Porté-Agel;Charles Meneveau;Marc B. Parlange

  • Stretching and quenching of flamelets in premixed turbulent combustion

    C Meneveau;T Poinsot

  • The fractal facets of turbulence

    K. R. Sreenivasan;C. Meneveau

  • Direct determination of the f( alpha ) singularity spectrum and its application to fully developed turbulence.

    Ashvin B. Chhabra;Charles Meneveau;Roderick V. Jensen;K. R. Sreenivasan

  • Analysis of turbulence in the orthonormal wavelet representation

    Charles Meneveau

  • Flow Structure and Turbulence in Wind Farms

    Richard Johannes Antonius Maria Stevens;Charles Meneveau

  • Linear forcing in numerical simulations of isotropic turbulence : Physical space implementations and convergence properties

    Carlos Rosales;Charles Meneveau

  • Decaying turbulence in an active-grid-generated flow and comparisons with large-eddy simulation

    Hyung Suk Kang;Stuart Chester;Charles Meneveau

  • Optimal turbine spacing in fully developed wind farm boundary layers

    Johan Meyers;Charles Meneveau

  • Generalized Smagorinsky model for anisotropic grids

    Alberto Scotti;Charles Meneveau;Douglas K. Lilly

  • A Lagrangian dynamic subgrid-scale model turbulence

    C. Meneveau;T. S. Lund;W. Cabot

Frequent Co-Authors

Marc B. Parlange
Marc B. Parlange University of Rhode Island
Johan Meyers
Johan Meyers KU Leuven
Joseph Katz
Joseph Katz Johns Hopkins University
Richard J. A. M. Stevens
Richard J. A. M. Stevens University of Twente
Luciano Castillo
Luciano Castillo Purdue University West Lafayette
Elie Bou-Zeid
Elie Bou-Zeid Princeton University
Gregory L. Eyink
Gregory L. Eyink Johns Hopkins University
Rajat Mittal
Rajat Mittal Johns Hopkins University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
Randal Burns
Randal Burns Johns Hopkins University

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