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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Cleanup work progresses with pump removal at Hanford Tank Farms
The Department of Energy’s Office of Environmental Management reports that workers at the Hanford Site, near Richland, Wash., have performed a technically complex operation to remove a large legacy mixer pump from Tank SY-101 in the 200 West Area. The removal allows for the future installation of tank waste retrieval equipment as part of the next phase of waste cleanup at the site.
A short video on the Hanford Site’s YouTube channel shows aspects of the operation, including the pump being lifted out of the tank with a specially designed hydraulic lift system named Hercules.
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)