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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC dockets construction permit for Dow, X-energy SMR
The Nuclear Regulatory Commission has accepted Dow’s construction permit application to build an X-energy small modular reactor in Seadrift, Texas.
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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