Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations
type: Item
instance of: scholarly article
title: Monte Carlo fPINNs: deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations
author: Ling Guo
author: Hao Wu
author: Xiaochen Yu
author: Tao Zhou
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/2203.08501
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 68T07
zbMATH DE Number: 7598921
zbMATH Keywords: physics-informed neural networks
zbMATH Keywords: fractional Laplacian
zbMATH Keywords: nonlocal operators
zbMATH Keywords: uncertainty quantification
Wikidata QID: Q114196703
describes a project that uses: PPINN
describes a project that uses: FPINNs
describes a project that uses: DeepXDE
MaRDI profile type: Publication
OpenAlex ID: W4296060623
cites work: Q5190149
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DOI: 10.1016/J.CMA.2022.115523
description: scientific article; zbMATH DE number 7598921