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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
2023 ANS Annual Meeting
June 11–14, 2023
Indianapolis, IN|Marriott Indianapolis 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 2023
Jan 2023
Latest Journal Issues
Nuclear Science and Engineering
June 2023
Nuclear Technology
Fusion Science and Technology
July 2023
Latest News
The Civil Nuclear Credit Program: An overview
Officially established on November 15, 2021, with the signing of the $1.2 trillion Infrastructure Investment and Jobs Act—aka the Bipartisan Infrastructure Law, or BIL—the Department of Energy’s Civil Nuclear Credit Program was designed to give owners/operators of commercial U.S. reactors the opportunity to apply for certification and competitively bid on credits to help support the continued operation of economically troubled units. Finally, the federal government, and not just certain farsighted state governments, would recognize nuclear energy for its important grid reliability and decarbonization attributes.
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)
Summary
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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