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Division Spotlight
Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
X-energy receives federal tax credit for TRISO fuel facility
Advanced reactor company X-energy has been awarded $148.5 million in tax credits under the Inflation Reduction Act for construction of its TRISO-X fuel fabrication facility in Oak Ridge, Tenn.
Feyzi Inanc, Bogdan Vasiliu, Dave Turner
Nuclear Science and Engineering | Volume 137 | Number 2 | February 2001 | Pages 173-182
Technical Paper | doi.org/10.13182/NSE01-A2183
Articles are hosted by Taylor and Francis Online.
An integral transport equation-based industrial radiography simulation code is parallelized using the Message Passing Interface standard on computers with both distributed- and shared-memory architectures. The algorithm involves partitioning of the problem domain into regions that are connected to each other through interface conditions. This results in a simultaneous set of integral transport equations. Each equation in the set is assigned to a different processor in the platform. The new algorithm is subjected to scalability tests in both cluster and shared-memory architectures for a varying number of processors with different problem domain partition strategies. The results show a high level of scalability with favorable results in both architectures.