Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	33rd Parallel Computational Fluid Dynamics (ParCFD) 2022
Publication status	Published - 25 May 2022

Access to Document

@inproceedings{54e57552bfca434b9b28c8fec1d40110,

title = "Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing",

author = "Reza Hassanian and Morris Riedel and {\'A}sd{\'i}s Helgad{\'o}ttir and Costa, {Pedro Simoes} and Lahcen Bouhlali",

year = "2022",

month = may,

day = "25",

language = "English",

booktitle = "33rd Parallel Computational Fluid Dynamics (ParCFD) 2022",

}

TY - GEN

T1 - Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing

AU - Hassanian, Reza

AU - Riedel, Morris

AU - Helgadóttir, Ásdís

AU - Costa, Pedro Simoes

AU - Bouhlali, Lahcen

PY - 2022/5/25

Y1 - 2022/5/25

UR - https://parcfd22.meeting-mojo.com/media/-/3223/field/a9dfd8d9dd8e5996db70a647eb4faa667db3c435.pdf

M3 - Conference contribution

BT - 33rd Parallel Computational Fluid Dynamics (ParCFD) 2022

ER -