Data-driven discovery of PDEs in complex datasets
type: Item
instance of: scholarly article
title: Data-driven discovery of PDEs in complex datasets
zbMATH Open document ID: 1451.68239
author: Kaj Nyström
author: Jens Berg
published in: Journal of Computational Physics
publication date: 2020-12-10T00:00:00Z
full work available at URL: https://arxiv.org/abs/1808.10788
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 35L20
Mathematics Subject Classification ID: 86A10
zbMATH DE Number: 7283531
zbMATH Keywords: machine learning
zbMATH Keywords: deep learning
zbMATH Keywords: partial differential equations
zbMATH Keywords: neural networks
describes a project that uses: COMSOL
describes a project that uses: FEniCS
describes a project that uses: L-BFGS
describes a project that uses: SciPy
describes a project that uses: Scikit
describes a project that uses: TensorFlow
describes a project that uses: PyTorch
MaRDI profile type: Publication
OpenAlex ID: W2889523591
Wikidata QID: Q114163522
arXiv ID: 1808.10788
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DOI: 10.1016/J.JCP.2019.01.036
description: scientific article