A physics-informed learning approach to Bernoulli-type free boundary problems
type: Item
instance of: scholarly article
title: A physics-informed learning approach to Bernoulli-type free boundary problems
zbMATH Open document ID: 1504.65231
author: Salvatore Cuomo
author: Fabio Giampaolo
author: Stefano Izzo
author: Carlo Nitsch
author: Francesco Piccialli
author: Cristina Trombetti
publication date: 2022-12-01T00:00:00Z
Mathematics Subject Classification ID: 65M99
Mathematics Subject Classification ID: 35Q35
zbMATH DE Number: 7625605
zbMATH Keywords: physics-informed neural networks
zbMATH Keywords: free boundary problem
zbMATH Keywords: scientific machine learning
describes a project that uses: Adam
describes a project that uses: FPINNs
describes a project that uses: DiffSharp
describes a project that uses: EikoNet
describes a project that uses: NSFnets
describes a project that uses: PINNeik
MaRDI profile type: Publication
full work available at URL: j.camwa.2022.10.003
OpenAlex ID: W4307059343
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DOI: 10.1016/J.CAMWA.2022.10.003
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published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 7625605