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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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
Sep 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
October 2024
Nuclear Technology
Fusion Science and Technology
Latest News
Don’t get boxed in: Entergy CNO Kimberly Cook-Nelson shares her journey
Kimberly Cook-Nelson
For Kimberly Cook-Nelson, the path to the nuclear industry started with a couple of refrigerator boxes and cellophane paper. Her sixth-grade science project was inspired by her father, who worked at Seabrook power station in New Hampshire as a nuclear operator.
“I had two big refrigerator boxes I taped together. I cut the ‘primary operating system’ and the ‘secondary system’ out of them. Then I used different colored cellophane paper to show the pressurized water system versus the steam versus the cold cooling water,” Cook-Nelson said. “My dad got me those little replica pellets that I could pass out to people as they were going by at my science fair.”
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Thursday, July 20, 2023|10:00–11:45AM EDT|301D
Session Chair:
Syed Bahauddin Alam (University of Illinois Urbana-Champaign)
Alternate Chair:
Pradeep Ramuhalli
Session Organizer:
Vaibhav Yadav
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Multi-Fidelity Machine Learning Approach to Material Modeling for Digital Twin Framework
10:00–10:25AM EDT
Kazuma Kobayashi (Missouri Univ. Science and Technology), James Daniell (Missouri Univ. Science and Technology), Dinesh Kumar (Missouri Univ. Science and Technology), Syed Alam (Missouri Univ. Science and Technology)
Paper
Components of Intelligent Digital Twin Framework for Complex Nuclear System
10:25–10:50AM EDT
Kazuma Kobayashi (Missouri Univ. Science and Technology), James Daniell (Missouri Univ. Science and Technology), Md Nazmus Sakib (Missouri Univ. Science and Technology), Dinesh Kumar (Missouri Univ. Science and Technology), Syed Alam (Missouri Univ. Science and Technology)
Applications of APR1400 MMIS Virtualization Simulator for the NPP's Performance
10:50–11:15AM EDT
Sungjin Lee (Korea Hydro & Nuclear Power Co.), Ho Sun Ryu (Korea Hydro & Nuclear Power Co.), Min-seok Kim (Korea Hydro & Nuclear Power Co.), Yong Sik Kim (Korea Hydro & Nuclear Power Co.)
Explainable Artificial Intelligence for Identification of Human Errors in Nuclear Power Plants
11:15–11:40AM EDT
Bhavya Reddy Kotla (San Jose State), Ezgi Gursel (Univ. Tennessee, Knoxville), Katy Daniels (Univ. Tennessee, Knoxville), Anahita Khojandi (Univ. Tennessee, Knoxville), Jamie Baalis Coble (Univ. Tennessee, Knoxville), Vivek Agarwal (INL), Vaibhav Yadav (INL), Ronald L. Boring (INL), Mahboubeh Madadi (San Jose State)
Presentation Slides (Visible to Attendees)
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