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
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
March 2026
Fusion Science and Technology
May 2026
Latest News
DOE selects first companies for nuclear launch pad
The Department of Energy’s Office of Nuclear Energy and the National Reactor Innovation Center have announced their first selections for the Nuclear Energy Launch Pad: three companies developing microreactors and one developing fuel supply.
The four companies—Deployable Energy, General Matter, NuCube Energy, and Radiant Industries—were selected from the initial pool of Reactor Pilot Program and Fuel Line Pilot Program applicants, the two precursor programs to the launch pad.
H. D. Warren, N. H. Shah
Nuclear Science and Engineering | Volume 54 | Number 4 | August 1974 | Pages 395-415
Technical Paper | doi.org/10.13182/NSE74-A23434
Articles are hosted by Taylor and Francis Online.
A general calculational model describing the effects of neutrons and gamma rays on self-powered prompt-responding coaxial in-core radiation detectors is presented. The model accounts for external gamma-ray interactions within a detector and the subsequent emissions of Compton electrons and photoelectrons. The model also includes neutron-capture gamma-ray and internal-conversion electron emissions. The effect on a detector’s sensitivity of space charge within its insulator is considered. A pseudopotential on the central electrode is introduced to account for Z-dependent variations in the space-charge distribution. Calculated neutron and gamma sensitivities of several in-core detectors are compared with experimental sensitivities. The comparisons are sufficiently satisfactory to label the model as successful in its predictions.