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

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 t...

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Main Authors: Dhamirah Mohamad, N.Z., Yousif, A., Shaari, N.A.B., Mustafa, H.I., Abdul Karim, S.A., Shafie, A., Izzatullah, M.
Format: Article
Published: Springer Science and Business Media Deutschland GmbH 2022
Online Access:http://scholars.utp.edu.my/id/eprint/34088/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140231783&doi=10.1007%2f978-3-031-04028-3_3&partnerID=40&md5=6dda30d6c6fb1d7efa59ee36502b4c34
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spelling oai:scholars.utp.edu.my:340882023-01-03T07:22:38Z http://scholars.utp.edu.my/id/eprint/34088/ Heat Transfer Modelling with Physics-Informed Neural Network (PINN) Dhamirah Mohamad, N.Z. Yousif, A. Shaari, N.A.B. Mustafa, H.I. Abdul Karim, S.A. Shafie, A. Izzatullah, M. 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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Springer Science and Business Media Deutschland GmbH 2022 Article NonPeerReviewed Dhamirah Mohamad, N.Z. and Yousif, A. and Shaari, N.A.B. and Mustafa, H.I. and Abdul Karim, S.A. and Shafie, A. and Izzatullah, M. (2022) Heat Transfer Modelling with Physics-Informed Neural Network (PINN). Studies in Systems, Decision and Control, 444. pp. 25-35. ISSN 21984182 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140231783&doi=10.1007%2f978-3-031-04028-3_3&partnerID=40&md5=6dda30d6c6fb1d7efa59ee36502b4c34 10.1007/978-3-031-04028-3₃ 10.1007/978-3-031-04028-3₃
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
format Article
author Dhamirah Mohamad, N.Z.
Yousif, A.
Shaari, N.A.B.
Mustafa, H.I.
Abdul Karim, S.A.
Shafie, A.
Izzatullah, M.
spellingShingle Dhamirah Mohamad, N.Z.
Yousif, A.
Shaari, N.A.B.
Mustafa, H.I.
Abdul Karim, S.A.
Shafie, A.
Izzatullah, M.
Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
author_facet Dhamirah Mohamad, N.Z.
Yousif, A.
Shaari, N.A.B.
Mustafa, H.I.
Abdul Karim, S.A.
Shafie, A.
Izzatullah, M.
author_sort Dhamirah Mohamad, N.Z.
title Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
title_short Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
title_full Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
title_fullStr Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
title_full_unstemmed Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
title_sort heat transfer modelling with physics-informed neural network (pinn)
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url http://scholars.utp.edu.my/id/eprint/34088/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140231783&doi=10.1007%2f978-3-031-04028-3_3&partnerID=40&md5=6dda30d6c6fb1d7efa59ee36502b4c34
_version_ 1754532125365764096
score 13.211869

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