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
DTRA’s advancements in nuclear and radiological detection
A new, more complex nuclear age has begun. Echoing the tensions of the Cold War amid rapidly evolving nuclear and radiological threats, preparedness in the modern age is a contest of scientific innovation. The Research and Development Directorate (RD) at the Defense Threat Reduction Agency (DTRA) is charged with winning this contest.
Technical Session
Wednesday, October 6, 2021|10:40AM–12:20PM EDT
Session Chair:
Xu Wu (NC State Univ.)
Session Organizer:
Hany S. Abdel-Khalik (Purdue Univ.)
Student Producer:
Khaldoon Al-Dawood (NC State Univ.)
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.
Impact of Covariances Estimation on Uncertainty Propagation in Reactor Core Simulations
10:40–11:05AM EDT
Gregory Kyriakos Delipei (NC State Univ.), Kaiyue Zeng (NC State Univ.), Jason Hou (NC State Univ.)
Paper
Uncertainty Quantification Study of Fuel Rod Performance With FRAPCON/FRAPTRAN for the OECD/NEA LWR Uncertainty Analysis in Modelling Benchmark
11:05–11:30AM EDT
G. Delipei (NC State Univ.), A. Abarca (NC State Univ.), M. Avramova (NC State Univ.), K. Ivanov (NC State Univ.)
High to Low Methodology for Gap Heat Transfer in an Uncertainty Quantification Framework for Depletion
11:30–11:55AM EDT
J. Fustero (NC State Univ.), G. K. Delipei (NC State Univ.), A. Abarca (NC State Univ.), A. Bennett (Framatome), M. Avramova (NC State Univ.), K. Ivanov (NC State Univ.)
Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing
11:55AM–12:20PM EDT
Ziyu Xie (NC State Univ.), Wen Jiang (INL), Congjian Wang (INL), Xu Wu (NC State Univ.)
To join the conversation, you must be logged in and registered for the meeting.