most citedDigital Twin-Centered Hybrid Data-Driven Multi-Stage Deep Learning Framework for Enhanced Nuclear Reactor Power Prediction

6 citations · 6 across the 2 of their papers we have counts for

collaborators
Showing stat.COShow all

1 paper · 1 filter

stat.CO2022

Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel

Kazuma Kobayashi, James Daniell, Shoaib Usman +2

The Gaussian Process (GP)-based surrogate model has the inherent capability of capturing the anomaly arising from limited data, lack of data, missing data, and data inconsistencies…