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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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!
Latest Magazine Issues
Dec 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
What’s the most difficult question you’ve been asked as a maintenance instructor?
Blye Widmar
"Where are the prints?!"
This was the final question in an onslaught of verbal feedback, comments, and critiques I received from my students back in 2019. I had two years of instructor experience and was teaching a class that had been meticulously rehearsed in preparation for an accreditation visit. I knew the training material well and transferred that knowledge effectively enough for all the students to pass the class. As we wrapped up, I asked the students how they felt about my first big system-level class, and they did not hold back.
“Why was the exam from memory when we don’t work from memory in the plant?” “Why didn’t we refer to the vendor documents?” “Why didn’t we practice more on the mock-up?” And so on.
Technical Session|Sponsored by MCD
Tuesday, November 19, 2024|3:15–5:00PM EST|Biscayne 3
Session Chair:
Bamidele Ebiwonjumi (MIT)
Alternate Chair:
Rizki Oktavian
Session Organizer:
Koroush Shirvan
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Importance Factor Analysis of Parameter Search for MCNP-to-Sensor Surface Mapping
3:15–3:35PM EST
James Daniell (Missouri Univ. Science and Technology), Ayodeji Alajo (Missouri Univ. Science and Technology)
Paper
A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
3:35–3:55PM EST
Anirudh Tunga (Blue Wave AI Labs), M.J. Mueterthies (Blue Wave AI Labs), J. Nistor (Blue Wave AI Labs)
Deep Operator Network Based Surrogate Model Development for Perturbed Pipe Flow Heat Transfer
3:55–4:15PM EST
Qiyun Cheng (Rensselaer Polytechnic Institute), Md Hossain Sahadath (Rensselaer Polytechnic Institute), Huihua Yang (Rensselaer Polytechnic Institute), Wei Ji (Rensselaer Polytechnic Institute)
Enhancing Reactor Dynamics Simulations with a Hybrid Neural Network Model
4:15–4:35PM EST
Hui-Yu Hsieh (TAMU), Thabit Abuqudaira (TAMU), Pavel Tsvetkov (TAMU), Piyush Sabharwall (INL)
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