Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin

Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin

A digital twin (DT) for nuclear reactor monitoring can be implemented using either a differential equations-based physics model or a data-driven machine learning model. The challenge of a physics-model-based DT consists of achieving sufficient model fidelity to represent a complex experimental syste...

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Bibliographic Details
Main Authors: Konstantinos Prantikos, Lefteri H. Tsoukalas, Alexander Heifetz
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
physics-informed neural networks
point kinetics equations
nuclear reactor
stiff ordinary differential equations
digital twin
nuclear reactor monitoring
Online Access:https://www.mdpi.com/1996-1073/15/20/7697

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https://www.mdpi.com/1996-1073/15/20/7697

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