2024 Accelerator R&D and Artificial Intelligence/Machine Learning Principal Investigator Exchange Meetings
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2024 NP Accelerator R&D Principal Investigator Exchange Meeting: Monday, December 2, 2024 |
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Principal Inv. |
Institution |
R&D Area |
Presentation Title |
Speaker |
| DOE NP | Introductory Remarks | Mantica | ||
| DOE NP | NP supported Accelerator R&D and AI/ML | Farkhondeh | ||
| Marsillac, Sylvain Poelker, Matthew Wang, Erdong |
ODU TJNAF BNL |
Polarized Sources | Enhancing the Design of Photocathodes with 90% polarization and QE > 1% for DOE NP | Marsillac |
| Bazarov, Ivan | Cornell | Electron Sources | High current sources for spin polarized and un-polarized electron beams | Andorf/ Bazarov |
| Kelly, Michael Kutsaev, Sergey Posen, Sam |
ANL RadiaBeam FNAL |
SRF | A Toward Ion Linacs Based on B3Sn |
Kelly |
| Ferracin, Paolo |
LBNL-88 inch | Next Gen Ion source | Development of a MARS superconducting cold mass for future generations of ECRIS | Ferracin |
| Powers, Tom | TJNAF | Plasma Processing | In Situ Plasma Processing of Superconducting Cavities | Powers |
| Saito, Kenji | MSU | SRF Cryomodules | Development of Transformative Preparation Methods to Push up High Q&G Performance of FRIB Spare HWR Cryomodule Cavities | Saito |
| Okamura, Masahiro | BNL | Laser Ion Source | Development of high current highly charged laser ion source | Okamura |
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Qiang, Ji |
LBNL MSU BNL |
Beam dynamics modeling | Advanced Modeling of Beam Physics and Performance Optimization for Nuclear Physics Colliders | Qiang |
| Jordan, Kevin | TJNAF | RF sources | 1497 MHz Vertical Slice Test of Magnetron & Superconducting Cavity | Wang, Haipeng |
| Hernandez-Garcia, Carlos | TJNAF | Electron Sources | High Voltage Insulators and Electrodes for 500 kV DC High Voltage Photogun with Inverted Insulator Design | Hernandez-Garica |
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2024 Artificial Intelligence and Machine Learning Principal Investigator Exchange Meeting Day 1: |
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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 |
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Mustapha, Brahim |
ANL |
Accelerator |
Accelerator Use of artificial intelligence to optimize accelerator operations and improve machine performance |
Mustapha/Santia |
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2024 Artificial Intelligence and Machine Learning Principal Investigator Exchange Meeting Day 2: |
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| 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 | ||||
