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.
Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
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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Dec 2024
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Canada lands on spent fuel repository site
While the United States was celebrating Thanksgiving Day, Canada’s Nuclear Waste Management Organization (NWMO) announced that it has selected a site in northwestern Ontario for a deep geologic repository to hold the country’s spent nuclear fuel
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Tuesday, July 18, 2023|10:00–11:45AM EDT|301E
Session Chair:
Nancy J. Lybeck
Alternate Chair:
Jamie Coble (University of Tennessee-Knoxville)
Session Organizer:
Vivek Agarwal
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Use of Novelty Detection or Distance Metrics to Improve Confidence in Machine Learning Algorithm Results
10:00–10:25AM EDT
Nancy J. Lybeck (INL), Cody M. Walker (INL), Vivek Agarwal (INL)
Paper
A Study on the Development of a Condition Diagnosis and Failure Prediction System for the Digital Instrumentation and Control System of NPPs
10:25–10:50AM EDT
Chang Hwoi KIm (KAERI), In Seck Jang (KAERI)
Prediction of Trip Parameters and Remaining Trip Time with Uncertainty Estimation in Abnormal Situations of Nuclear Power Plants
10:50–11:15AM EDT
Hyojin Kim (Chosun Univ.), Jonghyun Kim (Chosun Univ.)
Anomaly Detection and Identification Using a Leave-One-Variable-Out Method
11:15–11:40AM EDT
Jacob A. Farber (INL), Ahmad Y. Al Rashdan (INL), Randall Reese (INL)
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