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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
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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Nov 2024
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
NRC okays construction permits for Hermes 2 test facility
The Nuclear Regulatory Commission announced yesterday that it has directed staff to issue construction permits to Kairos Power for the company's proposed Hermes 2 nonpower test reactor facility to be built at the Heritage Center Industrial Park in Oak Ridge, Tenn. The permits authorize Kairos to build a facility with two 35-MWt test reactors that would use molten salt to cool the reactor cores.
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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