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
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
Dec 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
D. B. MacMillan, M. L. Storm
Nuclear Science and Engineering | Volume 16 | Number 4 | August 1963 | Pages 369-380
Technical Paper | doi.org/10.13182/NSE63-A26547
Articles are hosted by Taylor and Francis Online.
The applicability of the zero-neutron-lifetime approximation in describing the effects of neutron-level fluctuations is investigated for reactivities near and above prompt critical. It is concluded that meaningful statistical information can be obtained by the zero-lifetime model above prompt critical, and an approximate procedure for joining this model to a deterministic finite-lifetime model is suggested. Illustrative examples, comparing numerical results obtained by this approximation with more accurate finite-lifetime statistical calculations, are presented. In addition, application is made to Los Alamos and Livermore superprompt-critical burst experiments which fall outside of the practical computing range of the finite-lifetime model described in Part II. It is found that the agreement of calculation and experiment is as good as was found previously for a set of subprompt-critical burst experiments.