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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
January 2025
Nuclear Technology
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Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
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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