Zobrazeno 1 - 10
of 102 716
pro vyhledávání: '"Particle-tracking"'
Autor:
Luo, Xuan, Jiang, Zichao, Zhang, Yi, Yao, Qinghe, Wang, Zhuolin, Yang, Gengchao, Huang, Bohua
A novel particle tracking method based on a convolutional neural network (CNN) is proposed to improve the efficiency of Lagrangian-Eulerian (L-E) approaches. Relying on the successive neighbor search (SNS) method for particle tracking, the L-E approa
Externí odkaz:
http://arxiv.org/abs/2412.18379
Autor:
M, Shyam Kumar, Hong, Jiarong
Advanced three-dimensional (3D) tracking methods are essential for studying particle dynamics across a wide range of complex systems, including multiphase flows, environmental and atmospheric sciences, colloidal science, biological and medical resear
Externí odkaz:
http://arxiv.org/abs/2412.18094
Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques
Autor:
Oura, Tomoya, Fukagata, Koji
We propose a defiltering method of turbulent flow fields for Lagrangian particle tracking using machine learning techniques. Numerical simulation of Lagrangian particle tracking is commonly used in various fields. In general, practical applications r
Externí odkaz:
http://arxiv.org/abs/2411.04384
Autor:
Kose, Umut
Plastic scintillator detectors with three-dimensional granularity and sub-nanosecond time resolution offer simultaneous particle tracking, identification, and calorimetry. However, scaling to larger volumes and finer segmentation poses significant ch
Externí odkaz:
http://arxiv.org/abs/2412.20267
Particle velocimetry is essential in solid fuel combustion studies, however, the accurate detection and tracking of particles in high Particle Number Density (PND) combustion scenario remain challenging. The current study advances the machine-learnin
Externí odkaz:
http://arxiv.org/abs/2412.04091
Autor:
Dennedy‐Frank, P. James1,2 (AUTHOR) pjdf@northeastern.edu, Visser, Ate3 (AUTHOR), Maina, Fadji Z.1,4 (AUTHOR), Siirila‐Woodburn, Erica R.1 (AUTHOR)
Publikováno v:
Journal of Advances in Modeling Earth Systems. Aug2024, Vol. 16 Issue 8, p1-22. 22p.
The diffusion motions of individual polymer aggregates in disordered porous media were visualized using the single particle tracking (SPT) method because the motions inside porous media play important roles in various fields of science and engineerin
Externí odkaz:
http://arxiv.org/abs/2410.16776
Efficient accelerator modeling and particle tracking are key for the design and configuration of modern particle accelerators. In this work, we present JuTrack, a nested accelerator modeling package developed in the Julia programming language and enh
Externí odkaz:
http://arxiv.org/abs/2409.20522