2025 Artificial Intelligence and Machine Learning Principal Investigator Exchange Meeting Presentations
November 19, 2025
|
Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
|---|---|---|---|---|
|
- |
DOE NP |
- |
Introductory Remarks |
Stephenson |
|
- |
DOE NP |
- |
NP supported AI/ML |
|
|
Liu, Ming Xiong |
LANL |
Detectors |
Intelligent Experiments Through Real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and |
|
|
Wrede, Christopher |
MSU |
Detectors |
Machine Learning for Time Projection Chambers at FRIB |
|
|
Jacobs, Peter |
LBNL |
Experiment AI |
New approaches to Bayesian uncertainty quantification for Nuclear Science |
|
|
Carpenter, Michael |
ANL |
Experiment, LE |
Modern Data Analytics for the Large Gamma-Ray Spectrometers: GRETINA/GRETA and Gammasphere via Machine Learning and Optimization |
|
|
Redpath, Thomas |
VSU |
Experiment, LE |
Neural network classifier for analyzing measurements of fast neutrons for invariant mass spectroscopy |
|
|
Liuti, Simonetta |
UVA |
Theory, LQCD |
EXCLAIM - EXCLusives via Artificial Intelligence and Machine learning |
|
|
Lee, Dean |
MSU |
Theory ML |
STREAMLINE Collaboration: Machine Learning for Nuclear Many-Body Systems |
|
|
Ostroumov, Peter Scheinker, Alexander |
MSU |
Accelerator |
Online Autonomous Tuning of the FRIB Accelerator Using Machine Learning |
November 20, 2025
|
Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
|---|---|---|---|---|
|
Mustapha, Brahim |
ANL |
Accelerator |
Use of artificial intelligence to optimize accelerator operations and improve machine performance |
|
|
Crawford, Heather |
LBNL |
Accelerator |
Machine Learning Optimization: VENUS & GRETA |
|
|
Gruszko, Julieta |
UNC |
Detector, FS |
Interpretable Machine Learning for Germanium-Based Neutrinoless Double Beta Decay Searches |
|
|
Fanelli, Cristiano |
W&M |
Detectors |
A Scalable and Distributed AI-assisted detector design for the EIC |
|
|
Arratia, Miguel |
UC, Riverside |
Detectors |
AI-driven detector design for the EIC |
Arratia |
|
Lawrence, David |
TJNAF |
Polarization |
AI/ML Optimized Polarization |
|
|
Tennant, Christopher |
TJNAF |
Accelerator |
Graph Learning for Efficient and Explainable Operation of Particle Accelerators |
|
|
Hoffstaetter, Georg |
BNL/Cornell |
Accelerator |
Beam polarization increase in the BNL hadron injectors through physics-informed Bayesian Learning |
