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Division Spotlight
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.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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Nuclear Science and Engineering
June 2025
Nuclear Technology
May 2025
Fusion Science and Technology
Latest News
Sam Altman steps down as Oklo board chair
Advanced nuclear company Oklo Inc. has new leadership for its board of directors as billionaire Sam Altman is stepping down from the position he has held since 2015. The move is meant to open new partnership opportunities with OpenAI, where Altman is CEO, and other artificial intelligence companies.
Jin-Yang Li, Long Gu, Hu-Shan Xu, You-Peng Zhang, Cun-Feng Yao, Da-Jun Fan, Guan Wang, Xin-Kang Su
Fusion Science and Technology | Volume 77 | Number 5 | July 2021 | Pages 350-358
Technical Paper | doi.org/10.1080/15361055.2021.1904598
Articles are hosted by Taylor and Francis Online.
ITER is an experimental tokamak device that has many collaborators from different countries and aims to produce energy from nuclear fusion inside a reactor with magnetic confinement. Corresponding scientific data and structure visualization are important factors in connecting qualitative information from human intuition and quantitative content of physical-based datasets. Therefore, building an integrated platform with the interaction of scientific data visualization is inevitable for engineers and researchers in geographically distributed groups to effectively promote consistent design work, and it is also a key part in research and training processes for operators and students to better understand the ITER structure with analysis results. In this context, a digital ITER-type mock-up has been developed at the Institute of Modern Physics, Chinese Academy of Sciences based on an immersive virtual reality platform that is designed using client/server hybrid heterogeneous cloud architecture with many user-friendly and flexible features. Detailed ITER-type models have been developed and optimized in low-poly style to increase rendering speed, and scientific data in the scalar field have been represented by means of the view-dependent ray-casting method with topological texture images, which can fulfill real-time roaming and inspecting tasks for research purposes and provide an efficient and effective tool for fusion technology education at the University of Chinese Academy of Sciences.