Neural network constitutive model for crystal structures
type: Item
instance of: scholarly article
title: Neural network constitutive model for crystal structures
author: Sunyoung Im
author: H. Kim
author: Wonbae Kim
author: Maenghyo Cho
published in: Computational Mechanics
publication date: 2021-06-17T00:00:00Z
Mathematics Subject Classification ID: 74-XX
zbMATH DE Number: 7360500
zbMATH Keywords: neural network constitutive model (NNCM)
zbMATH Keywords: crystal structure
zbMATH Keywords: material nonlinearity
zbMATH Keywords: anisotropic hyperelastic model
zbMATH Keywords: machine learning
Wikidata QID: Q113326820
describes a project that uses: ReaxFF
MaRDI profile type: Publication
full work available at URL: s00466-020-01927-w
OpenAlex ID: W3093237597
cites work: Large elastic deformations of isotropic materials VI. Further results in the theory of torsion, shear and flexure
cites work: Large deformation isotropic elasticity – on the correlation of theory and experiment for incompressible rubberlike solids
cites work: A three-dimensional constitutive model for the large stretch behavior of rubber elastic materials
cites work: Finite element implementation of incompressible, transversely isotropic hyperelasticity
cites work: A new constitutive framework for arterial wall mechanics and a comparative study of material models
cites work: A formulation of elasticity and viscoelasticity for fibre-reinforced material at small and finite strains
cites work: An anisotropic visco-hyperelastic model for ligaments at finite strains. Formulation and computational aspects
cites work: A general hyperelastic model for incompressible fiber-reinforced elastomers
cites work: Anisotropic hyperelastic modeling for face-centered cubic and diamond cubic structures
cites work: Data-driven computational mechanics
cites work: Simple heuristic for data-driven computational elasticity with material data involving noise and outliers: a local robust regression approach
cites work: A model of incompressible isotropic hyperelastic material behavior using spline interpolations of tension-compression test data
cites work: What-you-prescribe-is-what-you-get orthotropic hyperelasticity
cites work: WYPIWYG hyperelasticity for isotropic, compressible materials
cites work: A new class of plastic flow evolution equations for anisotropic multiplicative elastoplasticity based on the notion of a corrector elastic strain rate
cites work: Characterizing rate-dependent material behaviors in self-learning simulation
cites work: Derivation of heterogeneous material laws via data-driven principal component expansions
cites work: A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites
cites work: Numerical implementation of a neural network based material model in finite element analysis
cites work: A surface Cauchy-Born model for silicon nanostructures
cites work: The Strain-Energy Function for Anisotropic Elastic Materials
cites work: Further results on the strain-energy function for anisotropic elastic materials
DOI: 10.1007/S00466-020-01927-W
description: scientific article; zbMATH DE number 7360500