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)

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)

Probabilistic risk assessment based model validation method using Bayesian network. - Shinyoung Kwag; Abhinav Gupta 005; Nam Dinh (Reliab. Eng. Syst. Saf., 2018)

Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning. - Han Bao 004; Jinyong Feng; Nam Dinh; Hongbin Zhang (CoRR, 2019)

Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation. - Han Bao 004; Nam Dinh; Linyu Lin; Robert Youngblood; Jeffrey Lane; Hongbin Zhang (CoRR, 2020)

Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data. - Han Bao 004; Jinyong Feng; Nam Dinh; Hongbin Zhang (CoRR, 2020)

Predictive Capability Maturity Quantification using Bayesian Network. - Linyu Lin; Nam Dinh (CoRR, 2020)

Enhancement of risk informed validation framework for external hazard scenario. - Saran Srikanth Bodda; Abhinav Gupta 005; Nam Dinh (Reliab. Eng. Syst. Saf., 2020)

Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review. - Linyu Lin; Han Bao 004; Nam Dinh (CoRR, 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 005; Robert Youngblood; Nam Dinh (CoRR, 2021)

Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments. - Yang Liu 201; Dewei Wang; Xiaodong Sun; Yang Liu 202; Nam Dinh; Rui Hu (Reliab. Eng. Syst. Saf., 2021)

Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA. - Edward Chen; Han Bao 004; Tate Shorthill; Carl R. Elks; Nam Dinh (CoRR, 2022)

Application of Orthogonal Defect Classification for Software Reliability Analysis. - Edward Chen; Han Bao 004; Tate Shorthill; Carl R. Elks; Athira Varma Jayakumar; Nam Dinh (CoRR, 2022)

Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip. - Edward Chen; Han Bao 004; Tate Shorthill; Hongbin Zhang; Nam Dinh (CoRR, 2022)

Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems. - Edward Chen; Han Bao 004; Nam Dinh (CoRR, 2023)

Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems. - Edward Chen; Han Bao 004; Nam Dinh (Reliab. Eng. Syst. Saf., 2024)

Trustworthiness modeling and evaluation for a nearly autonomous management and control system. - Longcong Wang; Linyu Lin; Nam Dinh (Reliab. Eng. Syst. Saf., 2024)