Spectrally adapted physics-informed neural networks for solving unbounded domain problems
Spectrally adapted physics-informed neural networks for solving unbounded domain problems
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Publisher
Bristol: IOP Publishing
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Language
English
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Bristol: IOP Publishing
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Contents
Solving analytically intractable partial differential equations (PDEs) that involve at least one variable defined on an unbounded domain arises in numerous physical applications. Accurately solving unbounded domain PDEs requires efficient numerical methods that can resolve the dependence of the PDE on the unbounded variable over at least several or...
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Full title
Spectrally adapted physics-informed neural networks for solving unbounded domain problems
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TN_cdi_doaj_primary_oai_doaj_org_article_18c160c2081a40e7ba4d48fc7d71047e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_18c160c2081a40e7ba4d48fc7d71047e
Other Identifiers
ISSN
2632-2153
E-ISSN
2632-2153
DOI
10.1088/2632-2153/acd0a1
