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Step-by-step time discrete Physics-Informed Neural Networks with application to a sustainability PDE model.

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Title: Step-by-step time discrete Physics-Informed Neural Networks with application to a sustainability PDE model.
Authors: Valentino, Carmine1, cvalentino@unisa.it, Pagano, Giovanni2, gpagano@unisa.it, Conte, Dajana1,2, dajconte@unisa.it, Paternoster, Beatrice2, beapat@unisa.it, Colace, Francesco1, fcolace@unisa.it, Casillo, Mario3, mcasillo@unisa.it
Source: Mathematics & Computers in Simulation; Apr2025, Vol. 230, p541-558, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181938481
AccessLevel: 2
PubType: Periodical
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.matcom.2024.10.043
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 541
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      – TitleFull: Step-by-step time discrete Physics-Informed Neural Networks with application to a sustainability PDE model.
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            NameFull: Valentino, Carmine
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            NameFull: Pagano, Giovanni
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 230
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