Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks

Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks

<b>Background</b>: Accurate reconstruction of internal temperature fields from surface temperature data is critical for applications such as non-invasive thermal imaging, particularly in scenarios involving small temperature gradients, like those in the human body. <b>Methods</b...

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Bibliographic Details
Main Authors: Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Tomography
Subjects:
thermal tomography
convolutional neural networks
physics-informed neural networks
3D temperature field
heat conduction
inverse problems
Online Access:https://www.mdpi.com/2379-139X/10/12/140
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