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Incremental neural controlled differential equations for modeling of path-dependent material behavior - MaRDI portal

Incremental neural controlled differential equations for modeling of path-dependent material behavior (Q6125468)

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scientific article; zbMATH DE number 7831054

Language	Label	Description	Also known as
English	Incremental neural controlled differential equations for modeling of path-dependent material behavior	scientific article; zbMATH DE number 7831054

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scholarly article

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Incremental neural controlled differential equations for modeling of path-dependent material behavior (English)

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Shabnam J. Semnani

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Computer Methods in Applied Mechanics and Engineering

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publication date

11 April 2024

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full work available at URL

https://arxiv.org/abs/2311.17336

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zbMATH Keywords

neural ordinary differential equations

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neural controlled differential equations

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data-driven computational mechanics

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elasto-plasticity

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machine learning

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surrogate modeling

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MaRDI profile type

MaRDI publication profile

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Thermodynamically consistent machine-learned internal state variable approach for data-driven modeling of path-dependent materials

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Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network

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A Class of Methods for Solving Nonlinear Simultaneous Equations

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Multiscale modeling of inelastic materials with thermodynamics-based artificial neural networks (TANN)

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On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling

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Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations

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Identifiers

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10.1016/j.cma.2024.116789

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:6125468

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