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
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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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Nuclear Science and Engineering
May 2025
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April 2025
Fusion Science and Technology
Latest News
El Salvador: Looking to nuclear
In 2022, El Salvador’s leadership decided to expand its modest, mostly hydro- and geothermal-based electricity system, which is supported by expensive imported natural gas and diesel generation. They chose to use advanced nuclear reactors, preferably fueled by thorium-based fuels, to power their civilian efforts. The choice of thorium was made to inform the world that the reactor program was for civilian purposes only, and so they chose a fuel that was plentiful, easy to source and work with, and not a proliferation risk.
Panel and Technical Session|Computational Methods, Artificial Intelligence, and Machine Learning
Friday, April 14, 2023|10:15–11:35AM EDT|Student Union 362A
Session Chair:
Noah Walton (Univ. Tennessee, Knoxville)
Alternate Chair:
Rida Rahman (Univ. Tennessee, Knoxville)
Session Organizer:
Lance M. Drouet (Univ. Tennessee, Knoxville)
This session is sponsored by the ANS Mathematics & Computation Division.
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Anomaly Detection in a Cold Trap Liquid Sodium Purification System through Multisensory Data Fusion with Deep Learning Autoencoders
10:15–10:35AM EDT
Alexandra G. Akins (North Carolina State University, Argonne National Laboratory), Alexander Heifetz (ANL)
Paper
Machine Learning-Based Error Correction Model for Low-Fidelity BWR Colorset Simulation
10:35–10:55AM EDT
Muhammad R. Oktavian (Purdue), Jonathan M. Nistor (Blue Wave AI Labs), John T. Gruenwald (Blue Wave AI Labs), Yunlin Xu (Purdue)
Simulating Photoelectric Radiation Transport in Cylindrical Gas Filled Photoemission Driven Cavities
10:55–11:15AM EDT
Ravi Shastri (Missouri Univ. Science and Technology)
Can Advances in Artificial Intelligence Surpass Legacy Algorithms for PWR Core Optimization?
11:15–11:35AM EDT
Paul R. Seurin (MIT), Koroush Shirvan (MIT)
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