ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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!
Latest Magazine Issues
Sep 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
October 2025
Nuclear Technology
September 2025
Fusion Science and Technology
Latest News
NNSA awards BWXT $1.5B defense fuels contract
The Department of Energy’s National Nuclear Security Administration has awarded BWX Technologies a contract valued at $1.5 billion to build a Domestic Uranium Enrichment Centrifuge Experiment (DUECE) pilot plant in Tennessee in support of the administration’s efforts to build out a domestic supply of unobligated enriched uranium for defense-related nuclear fuel.
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)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
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)
To join the conversation, you must be logged in and registered for the meeting.
