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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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On the value of data fusion and model integration for generating real-time risk insights for nuclear power reactors
Not Available
Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems
Not Available
Integrated Safety and Security Analysis of Nuclear Power Plants Using Dynamic Event Trees.
Abstract not provided.
Antineutrino flux from the EDF Hartlepool nuclear power plant
Not Available
CYBER RESILIENCE ANALYSIS OF SCADA SYSTEMS IN NUCLEAR POWER PLANTS.
Abstract not provided.
Fiber-Optic Sensors for Structural Health Monitoring of Nuclear Power Plants: Challenges and Opportunities
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Criteria for Determining the Safety of Wireless Technologies at Nuclear Power Plants
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Risk-Informing Critical Digital Assets (CDAs) for Nuclear Power Systems
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Nuclear Power Prognostic Model Assessment For Component Health Monitoring
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Preliminary Evaluation of Safety and Security Challenges Around Potential Nuclear-Powered Data Centers
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Issues with Approaches for Simulating Aging of Nuclear Power Plant Cable Materials Described in IEC and IAEA Documents.
Abstract not provided.
Safety and Security Defense-in-Depth for Nuclear Power Plants
This report describes the risk-informed technical elements that will contribute to a defense-in-depth assessment for cybersecurity. Risk-informed cybersecurity must leverage the technical elements of a risk-informed approach appropriately in order to evaluate cybersecurity risk insights. HAZCADS and HAZOP+ are suitable methodologies to model the connection between digital harm and process hazards. Risk assessment modeling needs to be expanded beyond HAZCADS and HAZOP+ to consider the sequence of events that lead to plant consequences. Leveraging current practices in PRA can lead to categorization of digital assets and prioritizing digital assets commensurate with the risk. Ultimately, the culmination of cyber hazard methodologies, event sequence modeling, and digital asset categorization will facilitate a defense-in-depth assessment of cybersecurity.