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
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
Aug 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
September 2025
Nuclear Technology
August 2025
Fusion Science and Technology
Latest News
General Matter to build Kentucky enrichment plant under DOE lease
The Department of Energy’s Office of Environmental Management announced it has signed a lease with General Matter for the reuse of a 100-acre parcel of federal land at the former Paducah Gaseous Diffusion Plant in Kentucky for a new private-sector domestic uranium enrichment facility.
Joseph A. Naser, Paul L. Chambré
Nuclear Science and Engineering | Volume 79 | Number 1 | September 1981 | Pages 99-109
Technical Paper | doi.org/10.13182/NSE81-A19045
Articles are hosted by Taylor and Francis Online.
A technique for solving systems of coupled ordinary differential equations with initial, boundary, and/or intermediate conditions is given. This method has a number of inherent advantages over existing techniques as well as being efficient in terms of computer time and space requirements. Optimal control problems can be solved by this technique by using Pontryagin's Maximum Principle to transform the state equations and their associated performance index into a system of coupled differential equations. An example of computing the optimal control for a spatially dependent reactor model with and without temperature feedback is given.