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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Feb 2025
Jul 2024
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Nuclear Science and Engineering
March 2025
Nuclear Technology
Fusion Science and Technology
February 2025
Latest News
NDA funds Plutonium Ceramics Academic Hub with U.K. universities
The United Kingdom’s Nuclear Decommissioning Authority has announced that it will establish a Plutonium Ceramics Academic Hub with the Universities of Manchester and Sheffield. The announcement follows a decision by the U.K. government in January to immobilize the country’s inventory of civil separated plutonium at the Sellafield nuclear site, mitigating the material’s long-term safety and security risks.
Technical Session|Methods
Wednesday, April 24, 2024|10:15AM–12:00PM PDT|Franciscan C
Session Chair:
Majdi I. Radaideh (Univ. of Michigan)
Alternate Chair:
Carlo Fiorina (Texas A&M Uni)
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State Estimation and Control in Digital Twins for TRIGA Research Reactors
10:15–10:35AM PDT
John Ross (Univ. Texas, Austin), Ben Collins (Univ. Texas, Austin), Kevin Clarno (Univ. Texas, Austin)
Paper
Demonstration of Microreactor Reactivity Control with Reinforcement Learning
10:35–10:55AM PDT
Majdi I. Radaideh (Univ. Michigan), Dean Price (Univ. Michigan), Kamal Abdulraheem (Univ. Michigan), Moutaz Elias (Lam Research)
Machine Learning Prediction of Pebble History in Pebble Bed Reactors
10:55–11:15AM PDT
Ian Kolaja (Univ. California, Berkeley), Tatiana Siaraferas (Univ. California, Berkeley), Yves Robert (Univ. California, Berkeley), Jaewon Lee (Univ. California, Berkeley), Massimiliano Fratoni (Univ. California, Berkeley)
C3-LPO: A Machine Learning Based Surrogate Model for Reactor Design Evaluation and Optimization
11:15–11:35AM PDT
Kingsley Ogujiuba (NCSU), Jake Mikouchi-Lopez (NCSU), Gregory Delipei (NCSU), Jason Hou (NCSU)
Generative AI Tools in the Nuclear Engineering Community: A Survey-Based Evaluation of the Current Adoption and Impacts
11:35–11:55AM PDT
Oskari Pakari (École Polytechnique Fédérale de Lausanne), Alessandro Scolaro (École Polytechnique Fédérale de Lausanne), Carlo Fiorina (TAMU)
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