Philipp Schlatter

Philipp Schlatter

Kungliga Tekniska högskolan

H-index: 60

Europe-Sweden

About Philipp Schlatter

Philipp Schlatter, With an exceptional h-index of 60 and a recent h-index of 49 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of turbulence, simulations, boundary layers, high-performance computing, transition to turbulence.

His recent articles reflect a diverse array of research interests and contributions to the field:

Direct numerical simulation of the turbulent flow around a Flettner rotor

Experimental characterization of the turbulent boundary layer around a NACA 4412 wing profile

Autoregressive models for quantification of time-averaging uncertainties in turbulent flows

Advances in Direct and Large-Eddy Simulations

Analysis of efficiency of ensemble averages for turbulence time series data using autorgeressive models

Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics

Widest scales in turbulent channels

Wall-modeled large-eddy simulation based on spectral-element discretization

Philipp Schlatter Information

University

Position

Professor in Fluid Mechanics, Linné FLOW Centre, KTH Mechanics

Citations(all)

15507

Citations(since 2020)

9100

Cited By

9788

hIndex(all)

60

hIndex(since 2020)

49

i10Index(all)

203

i10Index(since 2020)

166

Email

University Profile Page

Kungliga Tekniska högskolan

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Philipp Schlatter Skills & Research Interests

turbulence

simulations

boundary layers

high-performance computing

transition to turbulence

Top articles of Philipp Schlatter

Title

Journal

Author(s)

Publication Date

Direct numerical simulation of the turbulent flow around a Flettner rotor

Scientific Reports

Daniele Massaro

Martin Karp

Niclas Jansson

Stefano Markidis

Philipp Schlatter

2024/2/6

Experimental characterization of the turbulent boundary layer around a NACA 4412 wing profile

Fermin Mallor

Carlos Sanmiguel Vila

Majid Hajipour

Ramis Örlü

Ricardo Vinuesa

...

2024

Autoregressive models for quantification of time-averaging uncertainties in turbulent flows

Donnatella Xavier

Saleh Rezaeiravesh

Philipp Schlatter

2024

Advances in Direct and Large-Eddy Simulations

Flow, Turbulence and Combustion

Cristian Marchioli

Manuel García-Villalba

Maria Vittoria Salvetti

Philipp Schlatter

2024/1

Analysis of efficiency of ensemble averages for turbulence time series data using autorgeressive models

Donnatella Xavier

Saleh Rezaeiravesh

Philipp Schlatter

2024

Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics

Computers & Fluids

Niclas Jansson

Martin Karp

Artur Podobas

Stefano Markidis

Philipp Schlatter

2024/5/15

Widest scales in turbulent channels

Physics of Fluids

Ramón Pozuelo

A Cavalieri

Philipp Schlatter

Ricardo Vinuesa

2024/2/1

Wall-modeled large-eddy simulation based on spectral-element discretization

arXiv preprint arXiv:2404.05378

Timofey Mukha

Philipp Schlatter

2024/4/8

Experience and Analysis of Scalable High-Fidelity Computational Fluid Dynamics on Modular SupercomputingArchitectures

Martin Karp

Estela Suarez

Jan Meinke

Måns Andersson

Philipp Schlatter

...

2024

Effect of inflow on coherent structures in the Food and Drug Administration (FDA) benchmark nozzle

Donnatella Xavier

Saleh Rezaeiravesh

Philipp Schlatter

2024

Direct numerical simulation of transition under free-stream turbulence and the influence of large integral length scales

arXiv preprint arXiv:2403.08543

Kristina Đurović

Ardeshir Hanifi

Philipp Schlatter

Kenzo Sasaki

Dan S Henningson

2024/3/13

Generating synthetic turbulence with vector autoregression of proper orthogonal decomposition time coefficients

Ronith Stanly

Shiyu Du

Donnatella Xavier

Adalberto Perez Martinez

Timofey Mukha

...

2024

Tracking backflow events and flow separation in wings

Fermin Mallor

Jiahui Liu

Marco Atzori

Adam Peplinski

Tino Weinkauf

...

2024

Spatial averaging effects in adverse pressure gradient turbulent boundary layers

Fermin Mallor

Ramis Örlü

Philipp Schlatter

2024/2/21

High-fidelity simulations of the flow around a NACA 4412 wing section at high angles of attack

Fermin Mallor

Ricardo Vinuesa

Ramis Örlü

Philipp Schlatter

2024

On the use of batch means estimators for quantifying uncertainties in time averages of turbulence simulations

Donnatella Xavier

Saleh Rezaeiravesh

Ricardo Vinuesa

Philipp Schlatter

2024

Spectra of near-equilibrium adverse-pressure-gradient turbulent boundary layers

Physical Review Fluids

Ramón Pozuelo

Qiang Li

Philipp Schlatter

Ricardo Vinuesa

2023/2/22

Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran

The International Journal of High Performance Computing Applications

Martin Karp

Daniele Massaro

Niclas Jansson

Alistair Hart

Jacob Wahlgren

...

2023/9

In-Situ Techniques on GPU-Accelerated Data-Intensive Applications

Yi Ju

Mingshuai Li

Adalberto Perez

Laura Bellentani

Niclas Jansson

...

2023/10/9

Boundary Conditions for Wall-Modelled Large-Eddy Simulation Using Spectral Element Discretization

Timofey Mukha

Gert Brethouwer

Philipp Schlatter

2023/10/26

See List of Professors in Philipp Schlatter University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 61
Luca Brandt

Luca Brandt

Kungliga Tekniska högskolan

H-index: 52
P Henrik Alfredsson

P Henrik Alfredsson

Kungliga Tekniska högskolan

H-index: 42
Arne V. Johansson

Arne V. Johansson

Kungliga Tekniska högskolan

H-index: 39
Ricardo Vinuesa

Ricardo Vinuesa

Kungliga Tekniska högskolan

H-index: 38
Ramis Örlü

Ramis Örlü

Kungliga Tekniska högskolan

H-index: 27
Ardeshir Hanifi

Ardeshir Hanifi

Kungliga Tekniska högskolan

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