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.
R. E. Behmer, B. L. Hoffman
Nuclear Science and Engineering | Volume 2 | Number 1 | February 1957 | Pages 14-23
doi.org/10.13182/NSE57-A15568
Articles are hosted by Taylor and Francis Online.
An analytical procedure is presented for evaluating and correlating various heat transfer and economic parameters in order to optimize core size and configuration in the design of heterogeneous reactors. Maximum wall temperature calculations are used to determine a large range of reactor operating conditions with core size and shape as parameters. Information gained from crossplotting such information may then be used to estimate the sensitivity of the cost of the reactor system to some operating variable such as coolant flow rate, again with core size as a parameter. This information, coupled with fuel cost data as determined from nuclear calculations, can then be used to select an optimum core size and optimum operating conditions for a given system.