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A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains.

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Title: A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains.
Authors: Holthusen, Hagen1, hagen.holthusen@ifam.rwth-aachen.de, Linka, Kevin1,2, Kuhl, Ellen3, Brepols, Tim1
Source: Journal of the Mechanics & Physics of Solids; Jan2026:Part A, Vol. 206, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189597305
AccessLevel: 2
PubType: Periodical
PubTypeId: serialPeriodical
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.jmps.2025.106337
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains.
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            NameFull: Linka, Kevin
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            NameFull: Kuhl, Ellen
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            – D: 01
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              Text: Jan2026:Part A
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              Y: 2026
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              Value: 206
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