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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!
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Powering the future: How the DOE is fueling nuclear fuel cycle research and development
As global interest in nuclear energy surges, the United States must remain at the forefront of research and development to ensure national energy security, advance nuclear technologies, and promote international cooperation on safety and nonproliferation. A crucial step in achieving this is analyzing how funding and resources are allocated to better understand how to direct future research and development. The Department of Energy has spearheaded this effort by funding hundreds of research projects across the country through the Nuclear Energy University Program (NEUP). This initiative has empowered dozens of universities to collaborate toward a nuclear-friendly future.
D. D. Ebert, W. B. Terney, E. A. Williamson, Jr., N. R. Gomm
Nuclear Science and Engineering | Volume 69 | Number 3 | March 1979 | Pages 398-410
Technical Paper | doi.org/10.13182/NSE79-A19958
Articles are hosted by Taylor and Francis Online.
A method for developing maneuvering control strategies using optimal control theory is presented. A computer code, OPXENON, based on Pontryagin's Principle, has been written, tested, and applied to maneuvering control problems. It uses modified one-group diffusion theory with Doppler and moderator feedback, and is able to handle up to 20 mesh points in one dimension and 100 time steps. The neutronics have been verified by comparison with standard maneuvering codes, and the Euler-Lagrange solution has been verified by comparison to known optimization results. Convergence to the optimal or near-optimal control is obtained within a few iterations. The code is particularly useful when there are several conflicting performance criteria. It has been applied to the problem of minimizing the boron interchange during a pressurized water reactor maneuver while maintaining acceptable shapes.