no code implementations • 4 Dec 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
Advances in machine learning methods provide tools that have broad applicability in scientific research.
no code implementations • 23 Feb 2021 • John Arrington, Carlos Ayerbe Gayoso, Patrick C Barry, Vladimir Berdnikov, Daniele Binosi, Lei Chang, Markus Diefenthaler, Minghui Ding, Rolf Ent, Tobias Frederico, Yulia Furletova, Tim J Hobbs, Tanja Horn, Garth M Huber, Stephen JD Kay, Cynthia Keppel, Huy-Wen Lin, Cedric Mezrag, Rachel Montgomery, Ian L Pegg, Khepani Raya, Paul Reimer, David G Richards, Craig D Roberts, Jose Rodriguez-Quintero, Dmitry Romanov, Giovanni Salme, Nobuo Sato, Jorge Segovia, Petr Stepanov, Arun S Tadepalli, Richard L Trotta
How the bulk of the Universe's visible mass emerges and how it is manifest in the existence and properties of hadrons are profound questions that probe into the heart of strongly interacting matter.
Nuclear Experiment High Energy Physics - Phenomenology Nuclear Theory