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Artificial Intelligence and Machine Learning in Nuclear Physics

Dec 04, 2021
Amber Boehnlein, Markus Diefenthaler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Kostas Orginos, Peter Ostroumov, Long-Gang Pang, Alan Poon, Nobuo Sato, Malachi Schram, Alexander Scheinker, Michael S. Smith, Xin-Nian Wang, Veronique Ziegler

* Comments are welcome 

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Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator

Oct 22, 2021
Willem Blokland, Pradeep Ramuhalli, Charles Peters, Yigit Yucesan, Alexander Zhukov, Malachi Schram, Kishansingh Rajput, Torri Jeske

* 11 pages, 15 figures, for PR-AB 

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Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows

Apr 20, 2018
Alok Singh, Eric Stephan, Malachi Schram, Ilkay Altintas

* 2017 IEEE 13th International Conference on e-Science, 2017, pp. 586 to 591 

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