ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
May 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
NRC proposed rule for licensing reactors authorized by DOE, DOD
Nuclear reactor designs approved by the Department of Energy or Department of Defense could get streamlined pathways through the Nuclear Regulatory Commission’s commercial licensing process should applicants wish to push the technology into the civilian sector.
A proposed rule introduced April 2 by the NRC would “improve NRC licensing review efficiency, where applicable, by explicitly establishing by regulation an additional means for reactor applicants to demonstrate the safety functions of their reactor designs, and thus, would contribute to the safe and secure use and deployment of civilian nuclear energy technologies.”
Technical Session|Sponsored by RPD
Thursday, November 19, 2020|12:15–2:00PM EST
Session Chair:
Jason Hearne (Texas A&M Univ.)
Alternate Chair:
Massimiliano Fratoni
Session Organizer:
Pavel V. Tsvetkov
Staff Producer:
Pat Schroeder (American Nuclear Society)
To access the session recording, you must be logged in and registered for the meeting.
Register NowLog In
To access paper attachments, you must be logged in and registered for the meeting.
Verification of the Re-Released ENDF/B VIII.0 Based Thermal Scattering Libraries
Donald K. Parsons (Los Alamos)
Paper
Neutron Capture on Stable Fission Product 139La Contribution to Delayed-Photoneutrons in Heavy Water Reactors
Yanuar A. Setiawan (Ulsan National Institute of Science & Technology), Douglas A. Fynan (Ulsan Nat'l Institute of Science and Technology)
Application of Machine Learning to Nuclear Data Evaluation
Pedro J. Vicente-Valdez (University of California Berkeley), Lee A. Bernstein (University of California Berkeley), Massimiliano Fratoni (University of California Berkeley)
Improving Resonance Integral Table Based Cross Section Methods Using Lasso Regression
Yuxuan Liu (University of Michigan), Brendan M. Kochunas (University of Michigan)
To join the conversation, you must be logged in and registered for the meeting.