Name
Abstract | ||
|---|---|---|
Numerical simulations of plasma flows are crucial for advancing our understanding of microscopic processes that drive the global plasma dynamics in fusion devices, space, and astrophysical systems. Identifying and classifying particle trajectories allows us to determine specific on-going acceleration mechanisms, shedding light on essential plasma processes.Our overall goal is to provide a general ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MLHPCAI4S51975.2020.00014 | 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) |
Keywords | DocType | ISBN |
Particle Trajectory Classification,Particle-in-Cell Simulations,Fast Fourier Transform,Principal Component Analysis,Clustering,K-means | Conference | 978-1-6654-2291-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Markidis | 1 | 207 | 28.78 |
| Ivy Peng | 2 | 0 | 0.68 |
| Artur Podobas | 3 | 38 | 11.42 |
| Itthinat Jongsuebchoke | 4 | 0 | 0.34 |
| Gabriel Bengtsson | 5 | 0 | 0.34 |
| Pawel Herman | 6 | 8 | 1.50 |