2020 Roundtable meeting on Machine Learning and Artificial Intelligence (ML/AI) for NP Accelerator Facilities
January 30, 2020
Sponsored by the Department of Energy
Office of Science, Office of Nuclear Physics
The Department of Energy (DOE) Office of Nuclear Physics (NP) organized an on-line Zoom information meeting between NP Federal Program Managers and representatives from all NP facilities to present and discuss opportunities in ML/AI for NP Accelerator Facilities.
| Institution | Presentation Title | Speaker |
|---|---|---|
| DOE NP | Introduction | Manouchehr Farkhondeh |
| TJNAF | AI at Jefferson Lab | Chris Tennant |
| ODU | Application of Machine Learning and Deep Learning for (Real-Time) SRF Cavity Fault Detection and Classification | Lasitha Vidyaratne / Khan Iftekharuddin |
| MSU/FRIB | Towards AI enabled high-power heavy ion facility with confidence | Steve Lidia |
| ANL-ATLAS | Opportunities for ML/AI at ATLAS | Clay Dickerson |
| ANL | Potential ML/AI Applications for Accelerator Design & Simulation | Brahim Mustapha |
| LBNL/88-inch | Superconducting ECR ion sources: an untapped application of artificial intelligence and its superhuman patience | Damon Todd |
| BNL-RHIC | Machine Learning Efforts within BNL C-AD Controls Group | Philip Dyer – presentation not available |
| TAMU | Utilizing ML/AI to optimize the day to day operations of the Cyclotron Institute's accelerator facilities | Robert Burch – presentation not available |
| Machine Learning—Examples from Particle Accelerators | Ying Wu |
