Publications
Publication Information
| Title | A.I. for Nuclear Physics Workshop Report |
| Authors | Xin-Nian Wang, Paulo Bedaque, Amber Boehnlein, Mario Cromaz, Markus Diefenthaler, Latifa Elouadrhiri, Tanja Horn, Michelle Kuchera, David Lawrence, Dean Lee, Steven Lidia, Robert McKeown, Wolodymyr Melnitchouk, Witold Nazarewicz, K. Orginos, Yves Roblin, Michael Scott Smith, Malachi Schram |
| JLAB number | JLAB-CST-20-002 |
| LANL number | 2006.05422v2 |
| Other number | DOE/OR/23177-5102 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
| Other Funding: | NSF |
|
Journal Compiled for European Physical Journal A Volume 57 Page(s) 100 Refereed | |
| Publication Abstract: | This report is an outcome of the workshop AI for Nuclear Physics held at Thomas Jefferson National Accelerator Facility on March 4-6, 2020. The workshop brought together 184 scientists to explore opportunities for Nuclear Physics in the area of Artificial Intelligence. The workshop consisted of plenary talks, as well as six working groups. |
| Experiment Numbers: | other |
| Group: | Comp Sci&Tech Div Office |
| Document: | |
| DOI: | https://doi.org/10.1140/epja/s10050-020-00290-x |
| Accepted Manuscript: | 10050_2020_290_OnlinePDF.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |