@inbook{d2877e2bf9db477fb620350d658f0565,
title = "Uncertainty Quantification and Sensitivity Analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code",
keywords = "BISON, Fuel performance code, Machine Learning, Nuclear power system, Sensitivity analysis, Uncertainty quantification",
author = "Kazuma Kobayashi and Dinesh Kuma and Matthew Bonney and Souvik Chakraborty and Kyle Paaren and Shoaib Usman and Syed Alam",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2023.",
year = "2023",
month = jan,
day = "1",
doi = "10.1007/978-3-030-97940-9\_205",
language = "English",
isbn = "9783030979393",
volume = "1-4",
pages = "2265--2277",
booktitle = "Handbook of Smart Energy Systems",
publisher = "Springer International Publishing",
}