[Office of Basic Energy Sciences (BES)] Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning

Authors: Daniel Ratner, Bobby G. Sumpter, Frank Alexander, Jay Jay Billings, Ryan Coffee, Sarah Cousineau, P. Denes, Mathieu Doucet, Ian Foster, Alexander Hexemer, Dean Hidas, Xiaobiao Huang, Sergei V. Kalinin, Mariam Kiran, A. Gilad Kusne, Apurva Mehta, Anibal J. Ramirez‐Cuesta, Subramanian K. R. S. Sankaranarayanan, Mary Scott, Mark Stevens, Yipeng Sun, Jana Thayer, Brian H. Toby, Daniela Ushizima, Rama K. Vasudevan, S. B. Wilkins, Kevin G. Yager - DOESC Office of Basic Energy Sciences 2019 cited by 11

This report describes four priority research opportunities for AI and machine learning presented at the roundtable. The report also provides a summary on computer science and mathematics that highlights where enhanced AI/ML capabilities could be impactful for the US Department of Energy's uses.