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.
Martin S. Tierney, Paul Waltman
Nuclear Science and Engineering | Volume 24 | Number 1 | January 1966 | Pages 42-48
Technical Paper | doi.org/10.13182/NSE66-A18122
Articles are hosted by Taylor and Francis Online.
Within the framework of a simplified one-dimensional model, the following problem is considered. Given a segment of some fissionable material with a length less than its natural critical length, construct, if possible, reflectors that provide albedos sufficient to make the segment critical (or achieve a prescribed degree of supercriticality) and do this in an optimal way (i.e. with minimum weight or cost). It is shown via asymptotic solutions to the one-dimensional Boltzmann equations that the appropriate left and right albedos lie on a segment of a hyperbola. For any pair of these albedos and for a wide class of optimization criteria, the optimal reflectors can be designed using the technique of dynamic programming. The solution to the problem is then found by a simple minimization along an arc of the hyperbola which relates the left and right albedos. Numerical examples are provided to illustrate the method when the optimization criterion is minimum weight.