14 citations · 25 across the 4 of their papers we have counts for
5 papers
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 +4
The Nearly Autonomous Management and Control System (NAMAC) is a comprehensive control system that assists plant operations by furnishing control recommendations to operators in a…
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…
A Data-driven Framework for Error Estimation and Mesh-Model Optimization in System-level Thermal-Hydraulic Simulation
Han Bao, Nam Dinh, Jeffrey Lane +1
Over the past decades, several computer codes were developed for simulation and analysis of thermal-hydraulics of system behaviors in nuclear reactors under operating, abnormal tra…
Coarse-Grid Computational Fluid Dynamic (CG-CFD) Error Prediction using Machine Learning
Botros N Hanna, Nam T. Dinh, Robert W. Youngblood +1
Despite the progress in high performance computing, Computational Fluid Dynamics (CFD) simulations are still computationally expensive for many practical engineering applications s…