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.
T. H. Fanning, G. Palmiotti
Nuclear Science and Engineering | Volume 127 | Number 2 | October 1997 | Pages 154-168
Technical Paper | doi.org/10.13182/NSE97-A28594
Articles are hosted by Taylor and Francis Online.
The variational nodal transport method is generalized for the treatment of heterogeneous nodes while maintaining nodal balances. Adapting variational methods to heterogeneous nodes requires the ability to integrate over a node with discontinuous cross sections. Integrals are evaluated using composite Gaussian quadrature rules, which permit accurate integration while yielding acceptable computing times. Allowing structure within a nodal solution scheme avoids some of the necessity of cross-section homogenization and more accurately defines the intranodal flux shape. Ideally, any desired heterogeneity can be constructed within the node, but in reality, the finite set of basis functions limits the intranodal complexity that can be modeled. Comparison tests show that the heterogeneous variational nodal method provides accurate results for moderate heterogeneities, even if some improvements are needed for very difficult configurations.