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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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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Leading the charge: INL’s role in advancing HALEU production
Idaho National Laboratory is playing a key role in helping the U.S. Department of Energy meet near-term needs by recovering HALEU from federal inventories, providing critical support to help lay the foundation for a future commercial HALEU supply chain. INL also supports coordination of broader DOE efforts, from material recovery at the Savannah River Site in South Carolina to commercial enrichment initiatives.
Virginia A. F. Dean
Nuclear Science and Engineering | Volume 145 | Number 1 | September 2003 | Pages 20-38
Technical Paper | doi.org/10.13182/NSE03-16
Articles are hosted by Taylor and Francis Online.
The International Criticality Safety Benchmark Evaluation Project (ICSBEP) provides a handbook of descriptions, evaluations, and models of experiments with fissionable material. The "International Handbook of Evaluated Criticality Safety Benchmark Experiments" (ICSBEP Handbook) is useful for criticality safety analysts and nuclear-data evaluators for validation of neutron transport codes and nuclear cross-section sets. Each of the four main parts of the ICSBEP document provides valuable information. The four parts are as follows: Part 1, detailed description of the experiment; Part 2, evaluation of experimental data to obtain parameter values that define the model and their uncertainties; Part 3, derivation and concise description of the benchmark model; and Part 4, sample calculation results. The ICSBEP Handbook provides a practical, standardized format for documenting nuclear experiments.Valuable, previously unknown data are often discovered during the evaluation process. Besides these discoveries, many other things have been learned during this first decade of evaluating and providing benchmark models of experiments. The current method is described in order to improve understanding of what is required to evaluate benchmark experiments for validation purposes.