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.
Weston M. Stacey, Jr.
Nuclear Science and Engineering | Volume 49 | Number 2 | October 1972 | Pages 213-227
Technical Paper | doi.org/10.13182/NSE72-A35508
Articles are hosted by Taylor and Francis Online.
Variational expressions are presented for the estimation of the parameters of the adiabatic neutron kinetics model. The accuracy and limit of applicability of these variational estimates is established for liquid metal fast breeder reactor (LMFBR) applications by an extensive numerical study. An extended reactivity-table model, in which the mutual interaction of the different perturbations is treated on the basis of the variational estimates, is developed which is comparable in accuracy to the adiabatic model for a wide range of LMFBR transients.