Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance (Q6116144)

scientific article; zbMATH DE number 7725698

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English	Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance	scientific article; zbMATH DE number 7725698

Statements

instance of

scholarly article

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title

Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance (English)

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author

Panos Pantidis

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Habiba Eldababy

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Christopher Miguel Tagle

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Mostafa E. Mobasher

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published in

Computer Methods in Applied Mechanics and Engineering

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publication date

11 August 2023

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full work available at URL

https://arxiv.org/abs/2303.03918

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zbMATH Keywords

physics informed neural networks

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I-FENN

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convergence

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hyperparameter optimization

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numerical methods

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non-local damage

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MaRDI profile type

MaRDI publication profile

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cites work

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Estimates on the generalization error of physics-informed neural networks for approximating a class of inverse problems for PDEs

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Integrated finite element neural network (I-FENN) for non-local continuum damage mechanics

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Q4938227

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Identifiers

arXiv ID

2303.03918

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Mathematics Subject Classification ID

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10.1016/J.CMA.2023.116160

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Sitelinks

Mathematics(1 entry)

mardi Publication:6116144