Nam Dinh

Orcid: 0000-0003-0879-9710

According to our database1, Nam Dinh authored at least 17 papers between 2010 and 2024.

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Bibliography

2024
Trustworthiness modeling and evaluation for a nearly autonomous management and control system.
Reliab. Eng. Syst. Saf., 2024

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

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

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
Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments.
Reliab. Eng. Syst. Saf., 2021

Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System.
CoRR, 2021

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

2020
Enhancement of risk informed validation framework for external hazard scenario.
Reliab. Eng. Syst. Saf., 2020

Predictive Capability Maturity Quantification using Bayesian Network.
CoRR, 2020

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

2018
Probabilistic risk assessment based model validation method using Bayesian network.
Reliab. Eng. Syst. Saf., 2018

Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results.
CoRR, 2018

2010
A reconstructed discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids.
J. Comput. Phys., 2010


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