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Numerics and analysis of Cahn–Hilliard critical points.

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Title: Numerics and analysis of Cahn–Hilliard critical points.
Authors: Grafke, Tobias1, T.Grafke@warwick.ac.uk, Scholtes, Sebastian2, sebastian.scholtes@tha.de, Wagner, Alfred3, wagner@instmath.rwth-aachen.de, Westdickenberg, Maria G.4, maria@math1.rwth-aachen.de
Source: Mathematical Models & Methods in Applied Sciences; Jun2026, Vol. 36 Issue 7, p1381-1414, 34p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193655385
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Numerics and analysis of Cahn–Hilliard critical points.
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  Data: <searchLink fieldCode="AU" term="%22Grafke%2C+Tobias%22">Grafke, Tobias</searchLink><relatesTo>1</relatesTo>, <i>T.Grafke@warwick.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Scholtes%2C+Sebastian%22">Scholtes, Sebastian</searchLink><relatesTo>2</relatesTo>, <i>sebastian.scholtes@tha.de</i><br /><searchLink fieldCode="AU" term="%22Wagner%2C+Alfred%22">Wagner, Alfred</searchLink><relatesTo>3</relatesTo>, <i>wagner@instmath.rwth-aachen.de</i><br /><searchLink fieldCode="AU" term="%22Westdickenberg%2C+Maria+G%2E%22">Westdickenberg, Maria G.</searchLink><relatesTo>4</relatesTo>, <i>maria@math1.rwth-aachen.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Models+%26+Methods+in+Applied+Sciences%22">Mathematical Models & Methods in Applied Sciences</searchLink>; Jun2026, Vol. 36 Issue 7, p1381-1414, 34p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193655385
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1142/S0218202526500235
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      – Code: eng
        Text: English
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        PageCount: 34
        StartPage: 1381
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      – TitleFull: Numerics and analysis of Cahn–Hilliard critical points.
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            NameFull: Grafke, Tobias
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            NameFull: Scholtes, Sebastian
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            NameFull: Wagner, Alfred
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              Text: Jun2026
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              Y: 2026
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              Value: 36
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              Value: 7
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