activity
20232026
most citedSynthesizing impurity clustering in the edge plasma of tokamaks using neural networks

11 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

Multiresolution analysis on tessellation graphs for inertial particle dynamics

Keigo Matsuda, Thibault Maurel-Oujia, Kai Schneider

A multiresolution technique on tessellation graphs for particle dynamics is proposed. This allows to split spatial field data given on millions of discrete particle positions into…

physics.plasm-ph2024

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

Zetao Lin, Thibault Maurel--Oujia, Benjamin Kadoch +2

Confinement quality in fusion plasma is significantly influenced by the presence of heavy impurities, which can lead to radiative heat loss and reduced confinement. This study expl…

physics.flu-dyn2024

Singularity formation of vortex sheets in 2D Euler equations using the characteristic mapping method

Julius Bergmann, Thibault Maurel-Oujia, Xi-Yuan +3

The goal of this numerical study is to get insight into singular solutions of the two-dimensional (2D) Euler equations for non-smooth initial data, in particular for vortex sheets.…

physics.plasm-ph202411 cited

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

Zetao Lin, Thibault Maurel-Oujia, Benjamin Kadoch +4

This work investigates the behavior of impurities in edge plasma of tokamaks using high-resolution numerical simulations based on Hasegawa--Wakatani equations. Specifically, it foc…

physics.flu-dyn2023

Neural network models for preferential concentration of particles in two-dimensional turbulence

Thibault Maurel-Oujia, Suhas S. Jain, Keigo Matsuda +3

Cluster and void formations are key processes in the dynamics of particle-laden turbulence. In this work, we assess the performance of various neural network models for synthesizin…