Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites (Q6101900)

scientific article; zbMATH DE number 7682852

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English	Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites	scientific article; zbMATH DE number 7682852

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instance of

scholarly article

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title

Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites (English)

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George Chatzigeorgiou

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Fodil Meraghni

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published in

Computer Methods in Applied Mechanics and Engineering

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publication date

5 May 2023

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zbMATH Keywords

physics-informed neural network

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homogenization

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composites

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transfer learning

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micromechanics

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1016/j.cma.2023.115972

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cites work

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Locally exact asymptotic homogenization of periodic materials under anti-plane shear loading

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Equivalent inhomogeneity method for evaluating the effective elastic properties of unidirectional multi-phase composites with surface/interface effects

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An energy approach to the solution of partial differential equations in computational mechanics via machine learning: concepts, implementation and applications

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Parametric deep energy approach for elasticity accounting for strain gradient effects

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On computing the hyperparameter of extreme learning machines: algorithm and application to computational PDEs, and comparison with classical and high-order finite elements

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Numerical approximation of partial differential equations by a variable projection method with artificial neural networks

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A physics-guided neural network framework for elastic plates: comparison of governing equations-based and energy-based approaches

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Isogeometric neural networks: a new deep learning approach for solving parameterized partial differential equations

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A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks

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A multiscale separated representation to compute the mechanical behavior of composites with periodic microstructure

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Q4189539

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Homogenization of size-dependent multiphysics behavior of nanostructured piezoelectric composites with energetic surfaces

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Bounds and self-consistent estimates for the overall properties of anisotropic composites

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Identifiers

DOI

10.1016/j.cma.2023.115972

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6101900