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
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
March 2026
Fusion Science and Technology
May 2026
Latest News
DOE selects first companies for nuclear launch pad
The Department of Energy’s Office of Nuclear Energy and the National Reactor Innovation Center have announced their first selections for the Nuclear Energy Launch Pad: three companies developing microreactors and one developing fuel supply.
The four companies—Deployable Energy, General Matter, NuCube Energy, and Radiant Industries—were selected from the initial pool of Reactor Pilot Program and Fuel Line Pilot Program applicants, the two precursor programs to the launch pad.
N. N. Ponomarev-Stepnoi, Y. S. Glushkov, V. P. Garin, G. V. Kompaniets, V. I. Nosov, R. G. Sanchez, R. R. Paternoster, S. P. Gary
Nuclear Science and Engineering | Volume 144 | Number 3 | July 2003 | Pages 191-199
Technical Paper | doi.org/10.13182/NSE03-A2352
Articles are hosted by Taylor and Francis Online.
The authors describe the criticality and reactivity measurement method (CRMM) and give results of their analysis obtained by using this method for a physical inventory of nuclear materials (NMs) on the Nartsiss critical assembly at the Russian Research Center Kurchatov Institute (RRC KI). The proposed approach is a further development of the criticality measurement method used at the Los Alamos National Laboratory (LANL), and is a joint effort of LANL and RRC KI. A brief description is given of the Nartsiss critical assembly. Statistical control charts are used to study the reproducibility of results. The contributions of individual components to the resultant error of the proposed method are estimated. The method of quantile estimates of random errors is used in error analysis. It is shown that the CRMM has high sensitivity and may be successfully used in NM control and accountability.