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Division Spotlight
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
August 2025
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July 2025
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Latest News
NextGen MURR Working Group established in Missouri
The University of Missouri’s Board of Curators has created the NextGen MURR Working Group to serve as a strategic advisory body for the development of the NextGen MURR (University of Missouri Research Reactor).
Technical Session|Panel|Sponsored by HFICD
Wednesday, November 15, 2023|1:00–2:45PM EST|Georgetown West
Session Chair:
Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign)
Session Organizer:
Vivek Agarwal (Idaho National Lab)
The nuclear industry, as highlighted by both the U.S. Nuclear Regulatory Commission (NRC) and the Department of Energy (DOE), has yet to fully harness the potential of recent advancements in AI/ML techniques. In this context, Digital Twin (DT) technology is poised to play a pivotal role in facilitating risk-informed decision-making. The NRC's "FY2021-23 Planned Research Activities" and "NRC Future Focused Research" identify "Methodology and Evaluation Tools for Digital Twin Applications" as a top-priority strategic area. However, the implementation of DT in nuclear systems poses significant challenges that need to be addressed. These challenges encompass various aspects, including: (a) Incorporating trustworthy data analytics algorithms, (b) Dealing with noisy or erroneous data and addressing data unavailability, (c) Quantifying uncertainties associated with DT, (d) Ensuring robust optimization techniques, and (e) Developing update modules in DT through the resolution of "On-the-fly Inverse Problems." In this panel session, we will explore the enabling technologies and components required to establish DT in the nuclear industry. Our discussion will delve into the solutions for tackling the aforementioned challenges and unlocking the potential benefits of DT for nuclear systems.
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