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The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
2023 ANS Winter Conference and Expo
November 12–15, 2023
Washington, D.C.|Washington Hilton
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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Offshore nuclear power concept under development by BWXT and Crowley
BWX Technologies is teaming with Crowley, a global shipping and energy supply chain company, under a memorandum of understanding to develop a ship with an onboard microreactor that could deliver power to users on shore via buoyed power cables. The concept, announced by both companies on September 20, is envisioned as a zero-carbon energy option for defense and disaster needs.
Monday, October 4, 2021|10:40AM–12:20PM EDT
Thomas M. Evans (ORNL)
Khaldoon Al-Dawood (NC State Univ.)
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Enabling Large-Scale Depletion in Serpent 2 Monte Carlo Code by Collision-Based Domain Decomposition
Ana Jambrina (LUT Univ.), Manuel García (Karlsruhe Institute for Technology), Jaakko Leppänen (VTT Technical Research Centre of Finland)
An Asynchronous GPU-Enabled Cross Section Lookup Algorithm for Monte Carlo Transport Simulations
Alicia Klinvex (Naval Nuclear Laboratory), Paul E. Burke (Georgia Institute of Technology), Kyle E. Remley (Naval Nuclear Laboratory), Neale Petrillo (Naval Nuclear Laboratory), David P. Griesheimer (Naval Nuclear Laboratory), Adam Bird (ANSWERS Software Service, Jacobs)
Domain Decomposed Random Ray Neutron Transport on GPU-Based Systems
John R. Tramm (ANL), Andrew R. Siegel (ANL)
Artificial Neural Network Performance Models for Parallel Particle Transport Calculations
J. Dillon Herring (Texas A&M Univ.), W. Daryl Hawkins (Texas A&M Univ.), Marvin L. Adams (Texas A&M Univ.)
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