Sharp-PINNs: Staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion.
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| Title: | Sharp-PINNs: Staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion. |
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| Authors: | Chen, Nanxi1, Cui, Chuanjie2, Ma, Rujin1, Chen, Airong1, Wang, Sifan1,3 |
| Source: | Computer Methods in Applied Mechanics & Engineering; Dec2025, Vol. 447, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 188494845 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188494845 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.cma.2025.118346 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Sharp-PINNs: Staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Nanxi – PersonEntity: Name: NameFull: Cui, Chuanjie – PersonEntity: Name: NameFull: Ma, Rujin – PersonEntity: Name: NameFull: Chen, Airong – PersonEntity: Name: NameFull: Wang, Sifan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00457825 Numbering: – Type: volume Value: 447 Titles: – TitleFull: Computer Methods in Applied Mechanics & Engineering Type: main |
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