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 8–12, 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
Oct 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
November 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Helical Fusion marks milestone in progress toward fusion power
Helical Fusion, a Japan-based fusion start-up that is developing a stellarator fusion power reactor, has announced it has successfully demonstrated its high-temperature superconducting (HTS) coil under relevant magnetic conditions.
A video highlighting the stellarator’s technology testing can be found here.
W. Ciechanowicz
Nuclear Science and Engineering | Volume 57 | Number 1 | May 1975 | Pages 39-52
Technical Paper | doi.org/10.13182/NSE75-A40341
Articles are hosted by Taylor and Francis Online.
The aim of the paper is to show how the complex, overall burnup optimization problem, t subject to the constraint of the desired power distribution, can be solved by decomposition into less complex coordinated subproblems. The solution has been obtained by use of the multilevel approach. The advantage of this approach is that it makes the computer solution of the problem of optimization practical. Two decomposition structures are considered: one for discrete and one for continuous reactor refueling. In the second case we deal with the optimization problem subject to the constraint in a form of an inequality containing a differentiable operator. To solve this problem the generalized Kuhn-Tucker theorem is used. To determine the optimum control of the desired power distribution, the Kulikowski approach is applied. As a result, the cyclic optimization process for both structures is obtained in which the information is exchanged between suitable level controllers.