14 citations · 26 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology
Kazuma Kobayashi, Dinesh Kumar, Syed Bahauddin Alam
In response to the urgent need to establish AI/ML-integrated Digital Twin (DT) technology within next-generation nuclear systems, advancements in modeling methods and simulation co…
Reliability-Based Robust Design Optimization Method for Engineering Systems with Uncertainty Quantification
Richa Verma, Dinesh Kumar, Kazuma Kobayashi +1
Robust optimization is a method for optimization under uncertainties in engineering systems and designs for applications ranging from aeronautics to nuclear. In a robust design pro…