JINA - Virtual Journal of Nuclear Astrophysics,
9 September 2022
Volume 20, Issue 35 (30 Articles)
- # 28 - <i>Colloquium</i>: Machine learning in nuclear physics
- Amber Boehnlein, Markus Diefenthaler, Nobuo Sato, Malachi Schram, Veronique Ziegler, Cristiano Fanelli, Morten Hjorth-Jensen, Tanja Horn, Michelle P. Kuchera, Dean Lee, Witold Nazarewicz, Peter Ostroumov, Kostas Orginos, Alan Poon, Xin-Nian Wang, Alexander Scheinker, Michael S. Smith,, Long-Gang Pang
- Reviews of Modern Physics
- http://link.aps.org/doi/10.1103/RevModPhys.94.031003
This material is based upon work supported in part by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under Award Number DE-SC0026204.
