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Hash Hashemianpresident@ans.org
From kindergarten classrooms to national security facilities, each event I attended during the opening weeks of the new year underscored one truth: The future of nuclear energy depends on the people we inspire, educate, and empower today.
I had a busy start to 2026, first speaking at the Nashville Energy and Mining Summit alongside Tennessee Electric Cooperative Association senior vice president Justin Maierhofer to explore the necessary synergies among policy, academic coursework, research, and industry expertise in accelerating American nuclear innovation. Drawing on experiences in high-level government relations and public affairs and decades of work in nuclear instrumentation advancements, we discussed Tennessee’s nuclear renaissance, workforce development, and policy frameworks that support emerging energy demands.
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.