A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology (Q6143617)

scientific article; zbMATH DE number 7783915

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English	A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology	scientific article; zbMATH DE number 7783915

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instance of

scholarly article

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title

A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology (English)

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Communications in Computational Physics

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publication date

5 January 2024

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full work available at URL

https://arxiv.org/abs/2209.02088

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zbMATH Keywords

deep learning method

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variational problems

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mesh-free method

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non-Newtonian mechanics

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nonlinear rheology

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glacier modelling

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MaRDI profile type

MaRDI publication profile

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cites work

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Multilayer feedforward networks are universal approximators

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Solution of Nonlinear Stokes Equations Discretized By High-Order Finite Elements on Nonconforming and Anisotropic Meshes, with Application to Ice Sheet Dynamics

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Identifiers

arXiv ID

2209.02088

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DOI

10.4208/cicp.oa-2022-0272

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6143617