The Particle Accelerator Simulation Code PyORBIT. - Andrei Shishlo; Sarah Cousineau; Jeffrey Holmes; Timofey Gorlov (ICCS, 2015)

Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions. - Majdi I. Radaideh; Hoang Tran; Lianshan Lin; Hao Jiang; Drew Winder; Sarma Gorti; Guannan Zhang; Justin Mach; Sarah Cousineau (CoRR, 2022)

Fault Prognosis in Particle Accelerator Power Electronics Using Ensemble Learning. - Majdi I. Radaideh; Chris Pappas; Mark Wezensky; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2022)

Time series anomaly detection in power electronics signals with recurrent and ConvLSTM autoencoders. - Majdi I. Radaideh; Chris Pappas; Jared Walden; Dan Lu 001; Lasitha Vidyaratne; Thomas Britton; Kishansingh Rajput; Malachi Schram; Sarah Cousineau (Digit. Signal Process., 2022)

Multi-module based CVAE to predict HVCM faults in the SNS accelerator. - Yasir Alanazi; Malachi Schram; Kishansingh Rajput; Steven Goldenberg; Lasitha Vidyaratne; Chris Pappas; Majdi I. Radaideh; Dan Lu 001; Pradeep Ramuhalli; Sarah Cousineau (CoRR, 2023)

Transient Optimization of the Cryogenic Moderator System Controller at the Spallation Neutron Source for Improved Performance. - Bryan P. Maldonado; Frank Liu 001; Nolan Goth; Pradeep Ramuhalli; Matthew Howell; Ryuji Maekawa; Brian D. Degraff; Sarah Cousineau (CCTA, 2024)

Distance preserving machine learning for uncertainty aware accelerator capacitance predictions. - Steven Goldenberg; Malachi Schram; Kishansingh Rajput; Thomas Britton; Chris Pappas; Dan Lu 001; Jared Walden; Majdi I. Radaideh; Sarah Cousineau; Sudarshan Harave (Mach. Learn. Sci. Technol., 2024)