Nam Dinh

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Trustworthiness modeling and evaluation for a nearly autonomous management and control system.

Longcong Wang, Linyu Lin, Nam Dinh

Reliab. Eng. Syst. Saf., 2024

Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems.

Edward Chen, Han Bao, Nam Dinh

Reliab. Eng. Syst. Saf., 2024

2023

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

Edward Chen, Han Bao, Nam Dinh

CoRR, 2023

2022

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

Edward Chen, Han Bao, Tate Shorthill, Hongbin Zhang, Nam Dinh

CoRR, 2022

Application of Orthogonal Defect Classification for Software Reliability Analysis.

Edward Chen, Han Bao, Tate Shorthill, Carl R. Elks, Athira Varma Jayakumar, Nam Dinh

CoRR, 2022

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

Edward Chen, Han Bao, Tate Shorthill, Carl R. Elks, Nam Dinh

CoRR, 2022

2021

Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments.

Yang Liu, Dewei Wang, Xiaodong Sun, Yang Liu, Nam Dinh, Rui Hu

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.

Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh

CoRR, 2021

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

Linyu Lin, Han Bao, Nam Dinh

CoRR, 2021

2020

Enhancement of risk informed validation framework for external hazard scenario.

Saran Srikanth Bodda, Abhinav Gupta, Nam Dinh

Reliab. Eng. Syst. Saf., 2020

Predictive Capability Maturity Quantification using Bayesian Network.

Linyu Lin, Nam Dinh

CoRR, 2020

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

Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

CoRR, 2020

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

Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, Jeffrey Lane, Hongbin Zhang

CoRR, 2020

2019

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

Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

CoRR, 2019

2018

Probabilistic risk assessment based model validation method using Bayesian network.

Shinyoung Kwag, Abhinav Gupta, Nam Dinh

Reliab. Eng. Syst. Saf., 2018

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

Yang Liu, Nam Dinh, Yohei Sato, Bojan Niceno

CoRR, 2018

2010

A reconstructed discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids.

Hong Luo, Luqing Luo, Robert R. Nourgaliev, Vincent Mousseau, Nam Dinh

J. Comput. Phys., 2010