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
Latest Magazine Issues
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
C. K. Sanathanan, J. C. Carter, L. T. Bryant, L. W. Amiot
Nuclear Science and Engineering | Volume 28 | Number 1 | April 1967 | Pages 82-92
Technical Paper | doi.org/10.13182/NSE67-A18670
Articles are hosted by Taylor and Francis Online.
The use of a hybrid computer results in an efficient method of analyzing the transience in high-performance nuclear reactor cores using ceramic fuels such as UO2. The nature of the space dependence of the variables is such that a great deal of multiplexing of computer components is possible. Asa consequence of multiplexing, an iterative procedure is necessary to obtain the closed-loop system response for a finite (but arbitrary) interval of time. A mathematical proof of the uniform convergence of the iterative process has been obtained. This proof is based on the principle of contraction mapping. The economy which may be realized in computer equipment and programming effort for this area of system analysis is discussed with illustrative examples. The computing techniques developed are applicable to the analysis of any nonlinear feedback control system.