Works (3)

Updated: July 5th, 2023 15:22

2022 journal article

Digital-twin-based improvements to diagnosis, prognosis, strategy assessment, and discrepancy checking in a nearly autonomous management and control system

ANNALS OF NUCLEAR ENERGY, 166.

By: L. Lin n, P. Athe n, P. Rouxelin n, M. Avramova n, A. Gupta n, R. Youngblood*, J. Lane*, N. Dinh n 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: autonomous control; digital twin; diagnosis; prognosis
Sources: Web Of Science, ORCID
Added: November 1, 2021

2020 journal article

Machine-learning based error prediction approach for coarse-grid Computational Fluid Dynamics (CG-CFD)

PROGRESS IN NUCLEAR ENERGY, 118.

By: B. Hanna n, N. Dinh n , R. Youngblood* & I. Bolotnov n 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ

Contributors: B. Hanna n, N. Dinh n , R. Youngblood* & I. Bolotnov n 

author keywords: Coarse grid (mesh); CFD; Machine learning; Discretization error; Big data; Artificial neural network; Random forest; Data-driven
Sources: Web Of Science, ORCID
Added: January 21, 2020

2019 journal article

A data-driven framework for error estimation and mesh-model optimization in system-level thermal-hydraulic simulation

NUCLEAR ENGINEERING AND DESIGN, 349, 27–45.

By: H. Bao*, N. Dinh n , J. Lane* & R. Youngblood*

co-author countries: United States of America πŸ‡ΊπŸ‡Έ

Contributors: H. Bao*, N. Dinh n , J. Lane* & R. Youngblood*

author keywords: Coarse mesh; Error estimation; System-level modeling and simulation; Machine learning; Physical feature
Sources: Web Of Science, ORCID
Added: June 4, 2019