World's Best Scientists 2026 revealed!
Award Badge
Mechanical and Aerospace Engineering
Sweden
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
61
Citations
16518
World Ranking
636
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Sweden Leader Award

Overview

Philipp Schlatter is affiliated with the University of Erlangen-Nuremberg in Germany. Their research primarily spans the field of Engineering, with significant contributions focused on subfields such as Computational Mechanics, Aerospace Engineering, Environmental Engineering, Statistical and Nonlinear Physics, and Mechanical Engineering.

The scientist's body of work explores several main topics, including:

  • Fluid Dynamics and Turbulent Flows
  • Computational Fluid Dynamics and Aerodynamics
  • Fluid Dynamics and Vibration Analysis
  • Wind and Air Flow Studies
  • Model Reduction and Neural Networks
  • Heat Transfer Mechanisms
  • Aerodynamics and Acoustics in Jet Flows

Philipp Schlatter has published extensively, with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • Journal of Fluid Mechanics
  • International Journal of Heat and Fluid Flow
  • Physical Review Fluids
  • Flow Turbulence and Combustion

Recent papers by the scientist include:

  • Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations, 2022, Physics of Fluids
  • Convolutional-network models to predict wall-bounded turbulence from wall quantities, 2021, Journal of Fluid Mechanics
  • Deep reinforcement learning for turbulent drag reduction in channel flows, 2023, The European Physical Journal E
  • Spectral proper orthogonal decomposition and resolvent analysis of near-wall coherent structures in turbulent pipe flows, 2020, Journal of Fluid Mechanics
  • Aerodynamic Effects of Uniform Blowing and Suction on a NACA4412 Airfoil, 2020, Flow Turbulence and Combustion

Collaboration has been an important aspect of Philipp Schlatter's research activities. Frequent coauthors include:

  • Ricardo Vinuesa
  • Saleh Rezaeiravesh
  • Ramis Örlü
  • Adam Peplinski
  • Stefano Markidis

Best Publications

  • Spectral analysis of nonlinear flows

    Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter

  • Spectral analysis of nonlinear flows

    Clarence W. Rowley;Igor Mezić;Shervin Bagheri;Philipp Schlatter

  • Assessment of direct numerical simulation data of turbulent boundary layers

    Philipp Schlatter;Ramis Örlü

  • Transition in boundary layers subject to free-stream turbulence

    Luca Brandt;Philipp Schlatter;Dan S. Henningson

  • Direct Numerical Simulation of Turbulent Pipe Flow at Moderately High Reynolds Numbers

    George K. El Khoury;Philipp Schlatter;Azad Noorani;Paul F. Fischer

  • Steady solutions of the Navier-Stokes equations by selective frequency damping

    Espen Åkervik;Luca Brandt;Dan S. Henningson;Jéro^me Hœpffner

  • Physics-informed neural networks for solving Reynolds-averaged Navier-Stokes equations.

    Hamidreza Eivazi;Mojtaba Tahani;Philipp Schlatter;Ricardo Vinuesa

  • Turbulent boundary layers up to Reθ=2500 studied through simulation and experiment

    P. Schlatter;R. Örlü;Q. Li;G. Brethouwer

  • Turbulent boundary layers at moderate Reynolds numbers: inflow length and tripping effects

    Philipp Schlatter;Ramis Örlü

  • Global stability of a jet in crossflow

    Shervin Bagheri;Philipp Schlatter;Peter J. Schmid;Dan S. Henningson

  • SIMSON : A Pseudo-Spectral Solver for Incompressible Boundary Layer Flows

    Mattias Chevalier;Philipp Schlatter;Anders Lundbladh;Dan S. Henningson

  • Predictions of turbulent shear flows using deep neural networks

    P. A. Srinivasan;P. A. Srinivasan;L. Guastoni;Hossein Azizpour;Hossein Azizpour;Philipp Schlatter

  • Formation of turbulent patterns near the onset of transition in plane Couette flow

    Yohann Duguet;Philipp Schlatter;Dan S. Henningson

  • Simulation and validation of a spatially evolving turbulent boundary layer up to Reθ = 8300

    Georg Eitel-Amor;Ramis Örlü;Philipp Schlatter

  • Wall accumulation and spatial localization in particle-laden wall flows

    G. Sardina;Philipp Schlatter;Luca Brandt;F. Picano

  • On streak breakdown in bypass transition

    Philipp Schlatter;Luca Brandt;H. C. de Lange;Dan S. Henningson

  • Mutual inductance instability of the tip vortices behind a wind turbine

    Sasan Sarmast;Reza Dadfar;Robert Flemming Mikkelsen;Philipp Schlatter

  • LES of transitional flows using the approximate deconvolution model

    Philipp Schlatter;Steffen Stolz;Leonhard Kleiser

  • Simulations of Spatially Evolving Turbulent Boundary Layers up to Reθ = 4300

    Philipp Schlatter;Qiang Li;Geert Brethouwer;Arne V. Johansson

  • History effects and near equilibrium in adverse-pressure-gradient turbulent boundary layers

    Alexandra Bobke;Ricardo Vinuesa;Ramis Örlü;Philipp Schlatter

  • Convolutional-network models to predict wall-bounded turbulence from wall quantities

    Luca Guastoni;Alejandro Güemes;Andrea Ianiro;Stefano Discetti

  • On the fluctuating wall-shear stress in zero pressure-gradient turbulent boundary layer flows

    Ramis Örlü;Philipp Schlatter

  • The global stability of the jet in crossflow

    Shervin Bagheri;Philipp Schlatter;Dan Henningson

Frequent Co-Authors

Dan S. Henningson
Dan S. Henningson Royal Institute of Technology
Ramis Örlü
Ramis Örlü OsloMet – Oslo Metropolitan University
Luca Brandt
Luca Brandt Polytechnic University of Turin
Arne V. Johansson
Arne V. Johansson Royal Institute of Technology
Paul Fischer
Paul Fischer University of Illinois at Urbana-Champaign
Bruno Eckhardt
Bruno Eckhardt Philipp University of Marburg
Carlo Massimo Casciola
Carlo Massimo Casciola Sapienza University of Rome
Hassan M. Nagib
Hassan M. Nagib Illinois Institute of Technology
Nicholas Hutchins
Nicholas Hutchins University of Melbourne

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in engineering disciplines like Mechanical and Aerospace Engineering, exploring related online degrees can broaden career opportunities. Fields such as speech pathology, while distinct, share a focus on problem-solving and technical expertise. Researching speech-language pathology graduate programs by state reveals various entry options, especially for those considering interdisciplinary careers or working in healthcare technologies.

Tuition and fees are critical considerations when selecting a program. Understanding the cost differences through resources like online speech pathology degree tuition information helps in planning finances effectively, particularly for long-term online studies.

Veterans seeking education benefits and flexible learning can find tailored opportunities in online programs. The guide on online speech pathology bachelor degree for veterans highlights important support systems and course structures designed for military students transitioning to civilian careers.

For those aiming to complete degrees efficiently, accelerated options are available. Reviewing the best 5 year speech pathology programs can provide insights into fast-tracked curricula that may also be applicable within engineering disciplines seeking similar accelerated formats.

Best Scientists Citing Philipp Schlatter

Trending Scientists