A physics-informed operator regression framework for extracting data-driven continuum models
type: Item
instance of: scholarly article
title: A physics-informed operator regression framework for extracting data-driven continuum models
zbMATH Open document ID: 1506.62383
author: Ravi G. Patel
author: Nathaniel Trask
author: Mitchell A. Wood
author: Eric C. Cyr
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2021-04-26T00:00:00Z
full work available at URL: https://arxiv.org/abs/2009.11992
Mathematics Subject Classification ID: 62M45
Mathematics Subject Classification ID: 65C20
zbMATH DE Number: 7337782
zbMATH Keywords: physics-informed machine learning
zbMATH Keywords: operator regression
zbMATH Keywords: spectral methods
zbMATH Keywords: continuum scale modeling
describes a project that uses: TensorFlow
describes a project that uses: PyTorch
describes a project that uses: DeepONet
describes a project that uses: ImageNet
describes a project that uses: PDE-Net
describes a project that uses: scikit-optimize
describes a project that uses: AlexNet
MaRDI profile type: Publication
OpenAlex ID: W3087889215
arXiv ID: 2009.11992
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DOI: 10.1016/J.CMA.2020.113500
description: scientific article