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Seyedalborz Manavi

Technische Universität München (TUM)

  • Technische Universität München (TUM)

SCHOLARLY PAPERS

2

DOWNLOADS

341

TOTAL CITATIONS

6

Scholarly Papers (2)

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1.

Enhanced Surrogate Modelling of Heat Conduction Problems Using Physics-Informed Neural Network Framework

Downloads 275 (276,257)
Citation 6

Enhanced Surrogate Modelling of Heat Conduction Problems Using Physics-Informed Neural Network Framework

Number of pages: 27 Posted: 15 Jun 2022
Seyedalborz Manavi, Thomas Becker and Ehsan Fattahi
Technische Universität München (TUM), Technische Universität München (TUM) and affiliation not provided to SSRN
Downloads 161 (463,831)
Citation 6

Abstract:

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Machine Learning, hybrid enforcement, hard constraint, thermal simulation, irregular geometries

Enhanced Surrogate Modelling of Heat Conduction Problems Using Physics-Informed Neural Network Framework

Number of pages: 19 Posted: 19 Sep 2022
Seyedalborz Manavi, Thomas Becker and Ehsan Fattahi
Technische Universität München (TUM), Technische Universität München (TUM) and affiliation not provided to SSRN
Downloads 114 (625,060)

Abstract:

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Machine learning, hybrid enforcement, hard constraint, thermal simulation, irregular geometries.

2.

A Parameterized Physics-Informed Machine Learning Approach for Solving Heat and Mass Transfer Equations in the Drying Process

Number of pages: 17 Posted: 18 Jun 2024
Seyedalborz Manavi, Ehsan Fattahi and Thomas Becker
Technische Universität München (TUM), affiliation not provided to SSRN and Technische Universität München (TUM)
Downloads 66 (907,769)

Abstract:

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Deep learning, coupled heat and mass transfer, Luikov model, Sensitivity analysis