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Conference 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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Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
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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