Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
type: Item
instance of: scholarly article
title: Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics
author: Alexander Henkes
author: H. Wessels
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2022-10-10T00:00:00Z
full work available at URL: https://arxiv.org/abs/2206.01693
Mathematics Subject Classification ID: 74M25
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7598911
zbMATH Keywords: artificial neural networks
zbMATH Keywords: generative adversarial networks
zbMATH Keywords: microstructure generation
zbMATH Keywords: full-field homogenization
describes a project that uses: PoreSpy
describes a project that uses: StyleGAN
describes a project that uses: Wasserstein GAN
describes a project that uses: TensorFlow
describes a project that uses: FFTHomPy
describes a project that uses: Python
MaRDI profile type: Publication
OpenAlex ID: W4290849546
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DOI: 10.1016/J.CMA.2022.115497
description: scientific article; zbMATH DE number 7598911