ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Latest News
BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Balabhadra Misra, Victor A. Maroni
Nuclear Technology | Volume 35 | Number 1 | August 1977 | Pages 40-50
Technical Paper | Reactor | doi.org/10.13182/NT77-A31849
Articles are hosted by Taylor and Francis Online.
Isotopic enrichment of the spent fuels from deuterium-tritium (D-T)-burning tokamak-type power reactors is an essential processing step in the reactor fuel cycle. Analysis of cryogenic distillation as a method for accomplishing this enrichment was carried out using computer methods to simulate the required multicomponent separation of the six isotopomeric forms of molecular hydrogen. The application of matrix inversion techniques (as opposed to iterative methods) resulted in rapid convergence even for simultaneous analyses of multicolumn configurations having a wide range of input and output conditions. Two distinctly different fuel cycle scenarios were studied: