2024 Artificial Intelligence and Machine Learning Principal Investigator Exchange Meeting Presentations
December 4, 2024
|
Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
|---|---|---|---|---|
| DOE NP | Introductory Remarks | Mantica | ||
| DOE NP | NP supported AI/ML | Farkhondeh | ||
| Liu, Ming Xiong | LANL | Detectors | Intelligent Experiments Through Real‐time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX | Liu |
| Jacobs, Peter | LBNL | Experiment AI | New approaches to Bayesian uncertainty quantification for Nuclear Science |
Jacobs |
| Carpenter, Michael | ANL | Experiment, LE | Modern Data Analytics for the Large GammaRay Spectrometers: GRETINA/GRETA and Gammasphere via Machine Learning and Optimization |
Carpenter |
| Redpath, Thomas | VSU | Experiment, LE | Neural network classifier for analyzing measurements of fast neutrons for invariant mass spectroscopy |
Redpath |
| Liuti, Simonetta | UVA | Theory, LQCD | EXCLAIM - EXCLusives via Artificial Intelligence and Machine learning |
Liuti |
| Lee, Dean | MSU | Theory ML | STREAMLINE Collaboration: Machine Learning for Nuclear Many‐Body Systems |
Lee |
| Ostroumov, Peter Scheinker, Alexander |
MSU | Accelerator | Online Machine Autonomous Learning Tuning of the FRIB Accelerator Using Machine Learning | Ostroumov |
| Mustapha, Brahim | ANL | Accelerator | Accelerator Use of artificial intelligence to optimize accelerator operations and improve machine performance |
Mustapha/Santia |
December 5, 2024
|
Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
|---|---|---|---|---|
| Crawford, Heather | LBNL | Accelerator | Machine Learning Optimization: VENUS & GRETA | Crawford |
| Hoffman, Calem | ANL-ATLAS | Accelerator | Autonomous Optimization of the Secondary Beam Production and Delivery at the ATLAS In-Flight Facility | Mustapha |
| Tennant, Christopher | TJNAF | Accelerators | AI for Improved SRF Operation at CEBAF | Tennnant |
| Gruszko, Julieta | UNC | Detector, FS | Interpretable Machine Learning for Germanium-Based Neutrinoless Double Beta Decay Searches | Gruszko |
| Fanelli, Cristiano | W&M | Detectors | A Scalable and Distributed AI‐assisted detector design for the EIC Fanelli | Fanelli |
| Lawrence, David | TJNAF | Detectors | A.I. Assisted Experiment Control and Calibration | Lawrence |
| Hoffstaetter, Georg | BNL/Cornell | Accelerator | Beam polarization increase in the BNL hadron injectors through physics‐informed Bayesian Learning | Hoffstaetter |
| Lawrence, David | TJNAF | Polarization | AI/ML Optimized Polarization | Lawrence |
| Tennant, Christopher | TJNAF | Accelerator | Graph Learning for Efficient and Explainable Operation ofParticle Accelerators | Tennant |
| Closing Remarks | ||||
