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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
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!
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Disney World should have gone nuclear
There is extra significance to the American Nuclear Society holding its annual meeting in Orlando, Florida, this past week. That’s because in 1967, the state of Florida passed a law allowing Disney World to build a nuclear power plant.
Technical Session|Sponsored by RPD
Thursday, November 19, 2020|12:15–2:00PM EST
Session Chair:
Jason Hearne (Texas A&M Univ.)
Alternate Chair:
Massimiliano Fratoni
Session Organizer:
Pavel V. Tsvetkov
Staff Producer:
Pat Schroeder (American Nuclear Society)
To access the session recording, you must be logged in and registered for the meeting.
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Verification of the Re-Released ENDF/B VIII.0 Based Thermal Scattering Libraries
Donald K. Parsons (Los Alamos)
Paper
Neutron Capture on Stable Fission Product 139La Contribution to Delayed-Photoneutrons in Heavy Water Reactors
Yanuar A. Setiawan (Ulsan National Institute of Science & Technology), Douglas A. Fynan (Ulsan Nat'l Institute of Science and Technology)
Application of Machine Learning to Nuclear Data Evaluation
Pedro J. Vicente-Valdez (University of California Berkeley), Lee A. Bernstein (University of California Berkeley), Massimiliano Fratoni (University of California Berkeley)
Improving Resonance Integral Table Based Cross Section Methods Using Lasso Regression
Yuxuan Liu (University of Michigan), Brendan M. Kochunas (University of Michigan)
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