Han Bao

Orcid: 0000-0001-9059-8824

Affiliations:
  • Idaho National Laboratory, Idaho Falls, ID, USA


According to our database1, Han Bao authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems.
Reliab. Eng. Syst. Saf., 2024

2023
Quantitative evaluation of common cause failures in high safety-significant safety-related digital instrumentation and control systems in nuclear power plants.
Reliab. Eng. Syst. Saf., 2023

Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems.
CoRR, 2023

2022
Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip.
CoRR, 2022

An Application of a Modified Beta Factor Method for the Analysis of Software Common Cause Failures.
CoRR, 2022

Application of Orthogonal Defect Classification for Software Reliability Analysis.
CoRR, 2022

Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA.
CoRR, 2022

2021
An Integrated Risk Assessment Process of Safety-Related Digital I&C Systems in Nuclear Power Plants.
CoRR, 2021

Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review.
CoRR, 2021

2020
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data.
CoRR, 2020

A Redundancy-Guided Approach for the Hazard Analysis of Digital Instrumentation and Control Systems in Advanced Nuclear Power Plants.
CoRR, 2020

Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation.
CoRR, 2020

2019
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning.
CoRR, 2019


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