Kai Schneider

Professor

Aix-Marseille University

France

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Professor Kai Schneider is a faculty member at Aix-Marseille Université in France. His research primarily focuses on turbulence, including anisotropic homogeneous turbulent shear flows, impurity clustering in plasma physics, and advanced decomposition methods for fluid flows. Recent articles highlight his work on the geometrical analysis of transport phenomena and the application of neural networks in modeling complex systems.

Articles (20)

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2025

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2022

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2021

Collaborators (7)

Thomas Engels

Professor

CNRS – Inserm – Aix Marseille University

FRANCE

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Benjamin KADOCH

Aix-Marseille University

FRANCE

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Yoshimatsu Katsunori

Associate Professor

Nagoya University

JAPAN

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Wouter Bos

CNRS

FRANCE

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Arthur Marmin

Associate professor

Aix-Marseille Université

FRANCE

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Sarah Elisabeth Pfeffer

Ulm University

GERMANY

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Harald Wolf

retired professor

Ulm University

GERMANY

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Kai Schneider

Research Interests

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About

Articles (20)

Multi-scale geometrical Lagrangian statistics of heavy impurities in drift wave turbulence

Tessellation-based analysis of impurity clustering in the edge plasma of tokamaks

Scale-dependent analysis of the return to isotropy from anisotropic homogeneous turbulent shear flows originating from Batchelor and Saffman turbulence

A Robust Shifted Proper Orthogonal Decomposition: Proximal Methods for Decomposing Flows with Multiple Transports

Geometrical multiscale tortuosity of desert ant walking trajectories

Synthesizing impurity clustering in the edge plasma of tokamaks using neural networks

Singularity formation of vortex sheets in two-dimensional Euler equations using the characteristic mapping method

Heavy Particle Clustering in Inertial Subrange of High–Reynolds Number Turbulence

A Characteristic Mapping Method for Vlasov–Poisson with Extreme Resolution Properties

Revisiting Taylor's hypothesis in homogeneous turbulent shear flow

A Characteristic Mapping Method for the three-dimensional incompressible Euler equations

Geomagnetically Induced Current Analyzed with Wavelet Extraction

Publisher's Note: “Lagrangian conditional statistics and flow topology in edge plasma turbulence” [Phys. Plasmas 29, 102301 (2022)]

Computational aerodynamics of insect flight using volume penalization

Lagrangian conditional statistics and flow topology in edge plasma turbulence

Adaptive Solution of Initial Value Problems by a Dynamical Galerkin Scheme

Clustering of inertial particles in turbulent flow through a porous unit cell

Wavelet adaptive proper orthogonal decomposition for large-scale flow data

Effect of shaping on turbulent dynamics in reversed-field pinch simulations

An experimental data-driven mass-spring model of ﬂexible Calliphora wings

Collaborators (7)

Thomas Engels

Benjamin KADOCH

Yoshimatsu Katsunori

Wouter Bos

Arthur Marmin

Sarah Elisabeth Pfeffer

Harald Wolf

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