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.
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
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188494845
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188494845
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cma.2025.118346
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      – Code: eng
        Text: English
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      – TitleFull: Sharp-PINNs: Staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion.
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            NameFull: Chen, Nanxi
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            NameFull: Cui, Chuanjie
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            NameFull: Ma, Rujin
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            NameFull: Chen, Airong
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              M: 12
              Text: Dec2025
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              Y: 2025
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              Value: 447
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