ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2027 ANS Winter Conference and Expo
October 31–November 4, 2027
Washington, DC|The Westin Washington, DC Downtown
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
Nov 2024
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Drones fly in to inspect waste tanks at Savannah River Site
The Department of Energy’s Office of Environmental Management will soon, for the first time, begin using drones to internally inspect radioactive liquid waste tanks at the department’s Savannah River Site in South Carolina. Inspections were previously done using magnetic wall-crawling robots.
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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