@inproceedings{ee38b49210a9434f99cf324edf89b409,
title = "Components of Intelligent Digital Twin Framework for Complex Nuclear Systems",
abstract = "The utilization of digital twin (DT) technology in nuclear power applications is promising, but the research has only just begun. However, the definition of a”digital twin” is vague because it varies depending on the industry and vendors. Since the study is still just starting out in the nuclear energy system, this is an appropriate opportunity to define it well and share it. The study summarises possible uses and technical issues in nuclear applications according to the 4 levels of DT proposed by several software vendors. In addition, this study revealed that there are 4 tasks to realize DT: (1) system parameter updating method, (2) ML-Physics fusion modeling, (3) advanced surrogate modeling, and (4) development of advanced sensor and equipment.",
keywords = "Digital Twin, Machine Learning, Nuclear Energy",
author = "Kazuma Kobayashi and James Daniell and Sakib, \{Md Nazmus\} and Dinesh Kumar and Syed Alam",
note = "The computational part of this work was supported in part by the National Science Foundation (NSF) under Grant No. OAC-1919789.; 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023 ; Conference date: 15-07-2023 Through 20-07-2023",
year = "2023",
doi = "10.13182/NPICHMIT23-41213",
language = "English (US)",
series = "Proceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023",
publisher = "American Nuclear Society",
pages = "1737--1743",
booktitle = "Proceedings of 13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, NPIC and HMIT 2023",
address = "United States",
}