2nd Workshop on Artificial Intelligence in Plasma Science (WAIPS-2) ( Provence, France) |
|
5 July (Tuesday) |
|
Session I |
Session Chair: S. Hamaguchi |
11:00 – 11:30 |
S. Benkadda: Physics informed AI for plasma science (CNRS&AMU) |
11:30 – 12:00 |
Y. Kuramitsu: Innovation of laser-driven quantum beam generations and diagnostics with informatics (OU.) |
Session II |
Session Chair: Y. Kuramitsu |
14:00-14:30 |
N. Saura: Understanding convolutio architectures and applications (CNRS&A |
14:30-15:00 |
B. D. Hattingh: The effect of fabrication cond en trapping in tungsten (OU) |
15:00 -15:30 |
F. Nikaido: Measurements of laser-driven ions with orescence nuclear track detector using machine learning (OU) |
15:30- 16:00 |
S. Taira: Etching reactions of high energy -scale multi- layers (OU). |
Session III |
Session Chair: S. Benkadda |
|
11:00 – 11:30 |
Adel Saleh: Mathematical approach to self organization in Hasegawa Mima Turbulence (American University of Beirut) |
|
11:30 – 12:00 |
S. Hamaguchi: Regression of parallel-plate capacitively coupled plasmas (CCP) profiles obtained from numerical simulations (OU) |
|
Session IV |
Session Chair: B. Hattingh |
|
14:00 – 14:30 |
N. Saura: Improving penalized semi supervised nonnegative matrix factorization result’s confidence using deep residual learning approach in spectrum analysis (CNRS,AMU) |
|
14:30-15:00 |
D. Haraguchi: Deuterium retention and surface modification of W-Re alloys (OU) |
|
15:00-15:15 |
break |
|
Session V |
Session Chair: N. Saura |
|
15:15-16:45 |
A. Patil: Subgrid Scale Enhancements Assisted by Deep Learning (MINES ParisTech, CEMEF-CNRS UMR7635, Paris Sciences and Lettres University) |
|
K. Sakai: Machine learning analysis of acoustic emission signals during crack |
||
16:15- 16:45 |
T. Taguchi: Etch Pit Analyses on Solid-State Nuclear Track Detectors with AI |
|
CNRS = Centre national de la recherche scientifique, AMU = Aix Marseille University |
||
OU = Osaka University |