Towards blending physics-based numerical simulations and seismic databases using generative adversarial network
type: Item
instance of: scholarly article
title: Towards blending physics-based numerical simulations and seismic databases using generative adversarial network
zbMATH Open document ID: 1506.86013
author: Filippo Gatti
author: Didier Clouteau
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
Mathematics Subject Classification ID: 86A15
Mathematics Subject Classification ID: 86-08
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7337908
zbMATH Keywords: physics-based simulations
zbMATH Keywords: HPC
zbMATH Keywords: artificial neural networks
zbMATH Keywords: adversarial generative networks
describes a project that uses: InfoGAN
describes a project that uses: Wasserstein GAN
describes a project that uses: darch
describes a project that uses: WaveNet
describes a project that uses: GAUSSIAN
describes a project that uses: Adam
describes a project that uses: CycleGAN
describes a project that uses: pix2pix
MaRDI profile type: Publication
full work available at URL: j.cma.2020.113421
OpenAlex ID: W3090207777
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DOI: 10.1016/J.CMA.2020.113421
description: scientific article; zbMATH DE number 7337908