Pith. sign in

REVIEW

Report from the A.I. For Nuclear Physics Workshop

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2006.05422 v2 pith:SUZWS2PU submitted 2020-06-09 physics.comp-ph nucl-exnucl-th

Report from the A.I. For Nuclear Physics Workshop

Paulo Bedaque , Amber Boehnlein , Mario Cromaz , Markus Diefenthaler , Latifa Elouadrhiri , Tanja Horn , Michelle Kuchera , David Lawrence
show 10 more authors
Dean Lee Steven Lidia Robert McKeown Wally Melnitchouk Witold Nazarewicz Kostas Orginos Yves Roblin Michael Scott Smith Malachi Schram Xin-Nian Wang
This is my paper
classification physics.comp-ph nucl-exnucl-th
keywords workshopnuclearphysicsreportacceleratoracrossadditionalarea
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original 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. The report includes the workshop deliberations and additional contributions to describe prospects for using AI across Nuclear Physics research.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.