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|Sponsored by HFICD
Wednesday, November 18, 2020|4:50–6:30PM EST
Session Chair:
Brent D. Shumaker
Alternate Chair:
Katrina M. Groth
Session Organizer:
Jamie B. Coble
Staff Producer:
Rick Michal (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.
Integrated Operations for Nuclear - ION
Kenneth D. Thomas (Idaho National Laboratory), S. J. Remer (Remer Consulting)
Paper
On the Formalization of Development and Assessment Process for Digital Twins in the Nearly Autonomous Management and Control System
Nam T. Dinh (North Carolina State University), Han Bao (Idaho National Laboratory), Linyu Lin (North Carolina State University)
Development and Assessment of Physics-guided Machine Learning for Prognosis System
Nam T. Dinh (North Carolina State University), Linyu Lin (North Carolina State University), Anil Gurgen (North Carolina State University)
Quantitative Reasoning and Risk Assessment with Dynamic Bayesian Network
Junyung Kim (Rensselaer Polytechnic Institute), Hyun Gook Kang (Rensselaer Polytechnic Institute)
Equipping Machine Learning with Uncertainty Quantification to Update Probabilistic Risk Assessment of Nuclear Power Plants using NRC Licensee Event Reports
Zahra Mohaghegh (University of Illinois at Urbana-Champaign), Catherine Blake (University of Illinois at Urbana-Champaign), Seyed Reihani (University of Illinois at Urbana-Champaign), Justin Pence (University of Illinois at Urbana-Champaign), Tatsuya Sakurahara (University of Illinois at Urbana-Champaign), Pegah Farshadmanesh (University of Illinois at Urbana-Champaign), Jaemin Yang (University of Illinois at Urbana-Champaign)
To join the conversation, you must be logged in and registered for the meeting.
