Search

Your search keyword '"Kuchera, Michelle"' showing total 2 results
Start Over Author "Kuchera, Michelle" Topic nuclear theory
2 results on '"Kuchera, Michelle"'

1. Machine Learning in Nuclear Physics

Author

Boehnlein, Amber, Diefenthaler, Markus, Fanelli, Cristiano, Hjorth-Jensen, Morten, Horn, Tanja, Kuchera, Michelle P., Lee, Dean, Nazarewicz, Witold, Orginos, Kostas, Ostroumov, Peter, Pang, Long-Gang, Poon, Alan, Sato, Nobuo, Schram, Malachi, Scheinker, Alexander, Smith, Michael S., Wang, Xin-Nian, and Ziegler, Veronique

Subjects
Nuclear Theory, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment
Abstract

Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances that will facilitate scientific discoveries and societal applications. This Review gives a snapshot of nuclear physics research which has been transformed by machine learning techniques., Comment: Comments are welcome

Published
2021
Full Text
View/download PDF

2. Report from the A.I. For Nuclear Physics Workshop

Author

Bedaque, Paulo, Boehnlein, Amber, Cromaz, Mario, Diefenthaler, Markus, Elouadrhiri, Latifa, Horn, Tanja, Kuchera, Michelle, Lawrence, David, Lee, Dean, Lidia, Steven, McKeown, Robert, Melnitchouk, Wally, Nazarewicz, Witold, Orginos, Kostas, Roblin, Yves, Smith, Michael Scott, Schram, Malachi, and Wang, Xin-Nian

Subjects
Physics - Computational Physics, Nuclear Experiment, Nuclear Theory
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., Comment: This version includes reference updates, improved figures and minor clarifications in the text

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results