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.
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.
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
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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Nuclear Science and Engineering
Fusion Science and Technology
Survey reveals support for, but misconceptions about, nuclear energy
Fifty-two percent of Americans either “strongly” or “somewhat” support nuclear energy as part of the United States’ energy mix, with the strongest support among Republicans (59 percent) and self-described independents (53 percent). Support among Democrats is 48 percent. Those are some of the results from the sixth annual American Climate Perspectives Survey conducted by ecoAmerica.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Tuesday, June 15, 2021|4:30–6:15PM EDT
Fan Zhang (University of Tennessee-Knoxville)
Jamie B. Coble (University of Tennessee-Knoxville)
Ashley Jiminian (ANS)
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Presentation Video (Visible to Attendees) — Dr. Xiao
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Artificial Reasoning System for Symptom-Based Conditional Failure Probability Estimation Using Bayesian Network
Xingang Zhao (ORNL), Michael Golay (MIT)
Nuclear Power Prognostic Model Assessment for Component Health Monitoring
Pradeep Ramuhalli (ORNL), Cody Walker (INL), Vivek Agarwal (INL), Nancy Lybeck (INL)
Multi-Fault System Prognostics of Maintenance Dependent Processes in Nuclear Power Plants
Hang Xiao (Univ. of Tennessee Knoxville), Alex Hines (Univ. of Tennessee Knoxville), Fan Zhang (Univ. of Tennessee Knoxville), Jamie B. Coble (Univ. of Tennessee Knoxville), J. Wes Hines (Univ. of Tennessee Knoxville)
Combining System Architecture Modelling with Dynamic Process Simulation for Early Stage Fault and Effect Analysis
Joonas Linnosmaa (VTT Technical Research Centre of Finland), André A. Hauge (Institute for Energy Technology), Fabien Sechi (Institute for Energy Technology), Miki Sirola (Aalto Univ.)
A Process to Assess Latent Failure Risk in Sequential Control Logic During a FMEA
M. McCarthy (Kinectrics), D. K. Masrani (Kinectrics), A. Vieira (Kinectrics)
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