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
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
GAO: Grouting Hanford tank waste could cost more than $1.1B
Workers move a container of treated tank waste as part of Hanford’s Test Bed Initiative to grout around 2,000 gallons of LAW for off-site disposal. (Photo: DOE)
Grouting Hanford’s low-level radioactive liquid tank waste could cost between $480 million and $1.1 billion, according to a report by the Government Accountability Office, which has repeatedly found that grouting (immobilizing waste in a concrete-like mixture) can accelerate cleanup at the Hanford Site and save billions of dollars when compared to mixing the waste with molten glass through the vitrification process.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Wednesday, June 16, 2021|4:30–6:15PM EDT
Session Chair:
Brent Shumaker (Analysis and Measurement Services Corp)
Alternate Chair:
Jamie B. Coble (University of Tennessee-Knoxville)
Session Organizer:
Staff Producer:
Janet Davis (ANS)
To access the session recording, you must be logged in and registered for the meeting.
Register NowLog In
To access session resources, you must be logged in and registered for the meeting.
To access paper attachments, you must be logged in and registered for the meeting.
Physics-Based Automated Reasoning for Health Monitoring: Sensor Set Selection
R. Vilim (ANL), T. Nguyen (ANL), R. Ponciroli (ANL), H. Wang (ANL)
Paper
Reference
A Parallel Capability Using Genetic Algorithm for Sensor Assignment Optimization with Process-Constrained Data-Analytic Diagnosis
Yuxuan Liu (Univ. of Michigan), Brendan Kochunas (Univ. of Michigan), Tat Nghia Nguyen (ANL), Hubert Ley (ANL), Richard Vilim (ANL)
A Model-Based Symbolic Inference for Sensor Deployment Optimization for Fault Detection of the EBR-II Reactor
Xiaoxu Diao (The Ohio State Univ.), Pavan Kumar Vaddi (The Ohio State Univ.), Boyuan Li (The Ohio State Univ.), Wei Gao (The Ohio State Univ.), Carol Smidts (The Ohio State Univ.)
Physics-Informed Machine Learning-Aided System Space Discretization
Junyung Kim (Rensselaer Polytechnic Institute), Asad Ullah Amin Shah (Rensselaer Polytechnic Institute), Hyun Gook Kang (Rensselaer Polytechnic Institute), Xingang Zhao (ORNL)