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.
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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
Show support for a Lego nuclear power plant
A creative fan of Lego—and nuclear power—has designed a nuclear power plant out of the famous building blocks and has submitted the idea to the Lego Group for possible production—but first, the idea needs the support of the public.
H. Andrews, S. Phongikaroon
Nuclear Technology | Volume 207 | Number 4 | April 2021 | Pages 617-626
Technical Paper | doi.org/10.1080/00295450.2020.1776538
Articles are hosted by Taylor and Francis Online.
This study sets out to demonstrate the capability of using electrochemistry and laser-induced breakdown spectroscopy (LIBS) for concentration prediction of multiple species in a molten salt system at 773 K. Samples contained UCl3 ranging from 0 to 10 wt%, GdCl3 ranging from 0 to 5 wt%, and MgCl2 ranging from 0 to 1.5 wt%, with LiCl-KCl eutectic salt as the remainder. Multivariate models were produced using semi-differential cyclic voltammograms (SDCVs) and normalized spectra acquired from LIBS. The SDCV model best predicted UCl3 levels, while the LIBS model best predicted GdCl3 and MgCl2 concentrations. A third model was developed by fusing the SDCV and LIBS signals. This model predicted UCl3 well and predicted GdCl3 and MgCl2 better than previous models. This model was then evaluated by using blind samples. The model predictions correlated well with inductively coupled plasma mass spectroscopy measurements, passing a t-test at a 95% confidence level.