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.
Myung H. Kim, A. F. Henry
Nuclear Science and Engineering | Volume 103 | Number 3 | November 1989 | Pages 276-282
Technical Paper | doi.org/10.13182/NSE89-A23678
Articles are hosted by Taylor and Francis Online.
Equations for a few-group model applicable to transient analysis are derived from a variational principle made stationary by the continuous-energy P1, equations. Flux-adjoint (bilin-early) weighted few-group parameters result. These can be reduced to the regular flux-spectrum weighted parameters by taking the adjoint spectrum to be constant in energy. Numerical comparisons with multigroup results show that both regular and bilinearly weighted two-group models provide acceptably accurate predictions of transient behavior when realistic pressurized water reactor cases are examined. Although there are still some theoretical questions to be examined, there appears at present to be no reason to employ bilinearly weighted parameters for either static or transient analysis.