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
U.S. Air Force opens power reactor RFI
The U.S. Air Force wants to hear from companies that could be interested in deploying small nuclear reactors at its bases.
The request for information posted Wednesday intends to assist the federal government in identifying potential developers and “understanding the company’s capability to design, license, fuel, construct, and deploy Small, Micro, or Modular Reactor (SMR) technologies in compliance with applicable regulatory, safety, environmental, and security requirements.”
Kyuhak Oh, Mark A. Prelas, Jason B. Rothenberger, Eric D. Lukosi, Jeho Jeong, Daniel E. Montenegro, Robert J. Schott, Charles L. Weaver, Denis A. Wisniewski
Nuclear Technology | Volume 179 | Number 2 | August 2012 | Pages 234-242
Technical Paper | Radioisotopes | doi.org/10.13182/NT12-A14095
Articles are hosted by Taylor and Francis Online.
Monte Carlo simulations have been used for calculating the energy deposition of beta particles in the depletion region of a silicon carbide (SiC) betavoltaic cell along with the corresponding theoretical efficiencies. Three Monte Carlo codes were used in the study: GEANT4, PENELOPE, and MCNPX. These codes were used to examine the transportation of beta particles from 90Y, 90Sr, and 35S. Both the average beta energy from each source and the entire spectrum were modeled for calculating maximum theoretical energy deposition in both a spherical and slab geometry. A simulated depletion region was added in postprocessing containing the maximum energy deposited per micrometer. The calculated maximum efficiencies with the slab configuration model are approximately 1.95%, 0.30%, and 0.025% using monoenergetic average energy and 1.54%, 0.25%, and 0.019% using an energy spectrum for 35S, 90Sr, and 90Y, respectively. These efficiencies when using the spherical configuration model are 2.02%, 0.31%, and 0.023% using the monoenergetic average energy and 1.10%, 0.17%, and 0.013% using an energy spectrum for 35S, 90Sr, and 90Y, respectively.