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Division Spotlight
Accelerator Applications
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.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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 Technology
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Nominations open for CNTA awards
Citizens for Nuclear Technology Awareness is accepting nominations for its Fred C. Davison Distinguished Scientist Award and its Nuclear Service Award. Nominations for both awards must be submitted by August 1.
The awards will be presented this fall as part of the CNTA’s annual Edward Teller Lecture event.
Technical Session|Monte Carlo Methods and Applications
Monday, April 28, 2025|3:15–4:55PM MDT|Lawrence B
Session Chair:
Ben Forget (MIT)
Alternate Chair:
Paul Cosgrove (Univ. Cambridge)
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Monte Carlo Sampling Strategy for a Non-Perturbative Approach to the Neutron Noise Equation: a Proof of Concept
3:15–3:40PM MDT
Axel Fauvel (CEA), Amélie Rouchon (CEA), Davide Mancusi (CEA), Andrea Zoia (CEA)
Paper
Comparison of Branching and Branchless Zero-Variance Games
3:40–4:05PM MDT
Thayz Gomes Ferreira (CEA), Francesco Rossi (CEA), Alexis Jinaphanh (CEA), Davide Mancusi (CEA), Andrea Zoia (CEA)
Real Variance Estimation in iDTMC Method Using Autoregressive (1) Model
4:05–4:30PM MDT
Jaehyeong Jang (KAIST), Yonghee Kim (KAIST)
Selection-Driven Evolutionary Population Control for Kinetic Monte Carlo Variance Reduction
4:30–4:55PM MDT
Martin Skretteberg (Univ. Cambridge), Paul Cosgrove (Univ. Cambridge)
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