Developing and using international standards for neutron ambient dose equivalent rate meters
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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The agenda for this meeting includes an agenda discussion, ballot report/standard status report, subcommittee projects, and new business.
The SWS were built by industry, for industry, and DOE and NREL facilitated the process to create them. The goal of the SWS maintenance process is to continue the consensus-based engagement to ensure the SWS content remains a relevant resource for promoting industry- accepted practices and maintaining consistency throughout the industry. This SWS Maintenance Charter and Procedures document defines the SWS maintenance process to provide transparency to stakeholders in how the SWS are maintained.
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The purpose of this research was to produce a measurable quantity of radioactive argon-37 through photonuclear production methods. The detection of argon-37, above background levels, uniquely and clearly indicates the underground detonation of a nuclear device.
The presentation would provide how Module-OT could provide security to the cyber physical systems that are interacting with digital, analog, physical, and human components.
Over the last decade, the interest in machine learning and artificial intelligence (A.I) has grown exponentially. Researchers across several industries have explored and proposed uses of machine learning that have the potential to exponentially improve automation, efficiency, etc. The nuclear industry is no exception, with several studies exploring applications in almost every aspect of the field. However, these developments have brought forth a number of concerns. Government officials, industry leaders and many others have called for new regulations to govern the development and implementation of A.I systems. In order for machine learning and A.I to be viable for nuclear applications, there will need to be great regulatory oversight. The purpose of this study is to examine current and proposed regulations that relate to machine learning and provide recommendations for future regulations, specifically for nuclear applications.
Presentation slides for INL/CON-23-74202.
Update presentation on current status of TTUSC project.
There are over 3000 commercial spent nuclear fuel (SNF) storage canisters that are made of stainless steel and planned for multi-purpose functions of SNF handling: interim storage, transportation, and ultimate disposal at a future SNF disposition location. To date, many multi-purpose canisters (MPC) are located in coastal regions for long-term storage. The canisters are fabricated by welding, and post-welding heat treatment is not required for relieving welding residual stresses (WRS). As a result, these canisters may be susceptible to chloride induced stress corrosion cracking (CISCC) due to the chloride-bearing marine salts. The flaw stability analysis of MPC canisters was performed at SRNL (i.e., PVP2016-4935 and PVP2016-63887) for through-wall flaws and for surface flaws respectively, where WRS was considered, and the failure assessment diagram (FAD)-based fracture mechanics method codified by API 579-1/ASME FFS-1-2007 Edition was adopted.
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Presentation slides for a talk I'm giving at the Digital I&C and HFE Workshop: Enabling Future Technologies for the Nuclear Fleet
Molecular catalysts capable of performing electrochemical transformations are frequently utilized in the synthesis of fuels. A common benchmark for evaluating catalysts for electrochemical reactions is overpotential (η) and minimizing η remains an active goal in catalysis. This Review details approaches for the determination of thermodynamic potentials for common fuel-forming reactions and for the determination of electrochemical overpotential, and underscores the need to employ methods that enable meaningful comparisons between molecular catalysts. Strategies for minimizing overpotential while maintaining high activity are highlighted.