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
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
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!
Latest Magazine Issues
Jun 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
July 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
Technical Session
Monday, November 8, 2021|2:50–4:50PM EST
Session Chair:
Matt Degonish (Westinghouse)
Alternate Chair:
Yunfei Zhao (OSU)
Session Organizer:
Session Producer:
Chase Blaeser
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Use of Machine Learning to Evaluate Maintenance Rule Functional Failures at Exelon
2:50–3:20PM EST
Stephen M. Hess (Jensen Hughes), Jonathan L. Hodges (Jensen Hughes), Jenna M. Burr (Exelon Generation), Scott W. Diven (Exelon Generation)
Paper
Fault Tree Generation From P&IDs Using Deep Learning
3:20–3:50PM EST
Jaydeep Thik (Ohio State Univ.), Xiaoxu Diao (Ohio State Univ), Pavan Kumar Vaddi (Ohio State Univ.), Carol Smidts (Ohio State Univ.)
Integration of Data Analytics With System Health Programs
3:50–4:20PM EST
D. Mandelli (INL), C. Wang (INL), S. Hess (Jensen Hughes), R. Sugrue (Jensen Hughes), D. Morton (Northwestern Univ.), I. Popova (Texas State Univ.), C. Pope (Idaho State Univ.), J. Miller (Idaho State Univ.), S. Ercanbrack (Idaho State Univ.), D. Cole (Univ. of Pittsburgh), J. Yurko (Univ. of Pittsburgh)
Use of Data Analytics to Evaluate Nuclear Plant Maintenance Historical Data
4:20–4:50PM EST
Stephen M. Hess (Jensen Hughes), Jonathan L. Hodges (Jensen Hughes), Stefan M. Kraft (Jensen Hughes), David Olack (EPRI), Jeff Greene (EPRI)
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