ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Venue, date changed for ANS’s Annual Conference
The American Nuclear Society’s 2024 Annual Conference is moving the venue in part to accommodate a higher-than-expected number of submissions for the Annual Conference and embedded topical meetings—the most received for an annual meeting in over a decade! The conference venue was changed to Mandalay Bay at the beginning of the Las Vegas strip. However, the change in accommodation comes with a change in dates: The meeting has been moved one week later than originally scheduled, to June 16–19.
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Tuesday, July 18, 2023|10:00–11:45AM EDT|301E
Nancy J. Lybeck
Jamie Coble (University of Tennessee-Knoxville)
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Use of Novelty Detection or Distance Metrics to Improve Confidence in Machine Learning Algorithm Results
Nancy J. Lybeck (INL), Cody M. Walker (INL), Vivek Agarwal (INL)
A Study on the Development of a Condition Diagnosis and Failure Prediction System for the Digital Instrumentation and Control System of NPPs
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
Hyojin Kim (Chosun Univ.), Jonghyun Kim (Chosun Univ.)
Anomaly Detection and Identification Using a Leave-One-Variable-Out Method
Jacob A. Farber (INL), Ahmad Y. Al Rashdan (INL), Randall Reese (INL)
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