Heat Transfer Modelling with Physics-Informed Neural Network (PINN)

Najwa Zawani Dhamirah Mohamad, Akram Yousif, Nasiha Athira Binti Shaari, Hasreq Iskandar Mustafa, Samsul Ariffin Abdul Karim, Afza Shafie, Muhammad Izzatullah

Research output: Chapter in Book/Report/Conference proceedingChapter


The numerical simulations of partial differential equations aid us in studying the nanofluid flow in the porous media, the analysis of the dispersion of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with the number of parameters. In this chapter, we will explore the application of the Physics-Informed Neural Network (PINN) in solving heat equation with distinct types of materials. To leverage the GPU performance and cloud computing, we perform the simulations on the Google Cloud Platform.
Original languageEnglish (US)
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Number of pages11
ISBN (Print)9783031040276
StatePublished - Oct 13 2022

Bibliographical note

KAUST Repository Item: Exported on 2022-11-03


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