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This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nominations for national awards open for 2023 ANS Annual Meeting
Nominations for the 2023 Annual Meeting awards are now being accepted, through the deadline of March 1. Hash Hashemian, chair of the ANS Honors and Awards Committee, urged members in a letter posted online to nominate their peers: “Your nomination of highly qualified individuals is the key step in recognizing their contributions and ensuring that the ANS Honors and Awards Program is aware of their achievements.” The recipients of the national awards, listed below, will be honored at the 2023 ANS Annual Meeting in Indianapolis, Ind. Honorees will be notified of their selection by May.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Wednesday, June 16, 2021|4:30–6:15PM EDT
Brent Shumaker (Analysis and Measurement Services Corp)
Jamie B. Coble (University of Tennessee-Knoxville)
Janet Davis (ANS)
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Physics-Based Automated Reasoning for Health Monitoring: Sensor Set Selection
R. Vilim (ANL), T. Nguyen (ANL), R. Ponciroli (ANL), H. Wang (ANL)
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)
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