Temperature forecasting for radioactive waste monitoring using graph neural networks

Pierre Hembert; Chady Ghnatios; Julien Cotton; Francisco Chinesta

doi:10.1108/HFF-03-2025-0211

Temperature forecasting for radioactive waste monitoring using graph neural networks

Pierre Hembert
, Chady Ghnatios
, Julien Cotton
, Francisco Chinesta

School of Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2251-2274
Number of pages	24
Journal	International Journal of Numerical Methods for Heat and Fluid Flow
Volume	36
Issue number	6
DOIs	https://doi.org/10.1108/HFF-03-2025-0211
State	Published - May 7 2026

ASJC Scopus Subject Areas

Computational Mechanics
Aerospace Engineering
Engineering (miscellaneous)
Mechanical Engineering

Keywords

Graph neural network
High-level waste demonstrator cell
Radioactive waste monitoring
Sensor network
Temperature forecast
Transfer learning

Access to Document

10.1108/HFF-03-2025-0211

Cite this

@article{3e3185302bbe46e4a51f9376c3c33749,

title = "Temperature forecasting for radioactive waste monitoring using graph neural networks",

keywords = "Graph neural network, High-level waste demonstrator cell, Radioactive waste monitoring, Sensor network, Temperature forecast, Transfer learning",

author = "Pierre Hembert and Chady Ghnatios and Julien Cotton and Francisco Chinesta",

note = "Publisher Copyright: {\textcopyright} 2026 Pierre Hembert, Chady Ghnatios, Julien Cotton and Francisco Chinesta.",

year = "2026",

month = may,

day = "7",

doi = "10.1108/HFF-03-2025-0211",

language = "English",

volume = "36",

pages = "2251--2274",

number = "6",

}

TY - JOUR

T1 - Temperature forecasting for radioactive waste monitoring using graph neural networks

AU - Hembert, Pierre

AU - Ghnatios, Chady

AU - Cotton, Julien

AU - Chinesta, Francisco

PY - 2026/5/7

Y1 - 2026/5/7

KW - Graph neural network

KW - High-level waste demonstrator cell

KW - Radioactive waste monitoring

KW - Sensor network

KW - Temperature forecast

KW - Transfer learning

UR - https://www.scopus.com/pages/publications/105043261880

UR - https://www.scopus.com/pages/publications/105043261880#tab=citedBy

U2 - 10.1108/HFF-03-2025-0211

DO - 10.1108/HFF-03-2025-0211

M3 - Article

AN - SCOPUS:105043261880

SN - 0961-5539

VL - 36

SP - 2251

EP - 2274

JO - International Journal of Numerical Methods for Heat and Fluid Flow

JF - International Journal of Numerical Methods for Heat and Fluid Flow

IS - 6

ER -

Temperature forecasting for radioactive waste monitoring using graph neural networks

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this