5 citations · 10 across the 3 of their papers we have counts for
4 papers
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
A nearly autonomous management and control (NAMAC) system is designed to furnish recommendations to operators for achieving particular goals based on NAMAC's knowledge base. As a c…
Predictive Capability Maturity Quantification using Bayesian Network
Linyu Lin, Nam Dinh
In nuclear engineering, modeling and simulations (M&Ss) are widely applied to support risk-informed safety analysis. Since nuclear safety analysis has important implications, a con…
Development and Assessment of a Nearly Autonomous Management and Control System for Advanced Reactors
Linyu Lin, Paridhi Athe, Pascal Rouxelin +5
This paper develops a Nearly Autonomous Management and Control (NAMAC) system for advanced reactors. The development process of NAMAC is characterized by a three layer-layer archit…
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation
Han Bao, Nam Dinh, Linyu Lin +3
Current system thermal-hydraulic codes have limited credibility in simulating real plant conditions, especially when the geometry and boundary conditions are extrapolated beyond th…