DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks.
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| Title: | DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. |
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| Authors: | Moya, Christian1, Lin, Guang1,2, guanglin@purdue.edu |
| Source: | Neural Computing & Applications; Feb2023, Vol. 35 Issue 5, p3789-3804, 16p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 161550113 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Moya%2C+Christian%22">Moya, Christian</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lin%2C+Guang%22">Lin, Guang</searchLink><relatesTo>1,2</relatesTo>, <i>guanglin@purdue.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Feb2023, Vol. 35 Issue 5, p3789-3804, 16p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=161550113 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-022-07886-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 3789 Titles: – TitleFull: DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moya, Christian – PersonEntity: Name: NameFull: Lin, Guang IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 02 Text: Feb2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 35 – Type: issue Value: 5 Titles: – TitleFull: Neural Computing & Applications Type: main |
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