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Physics-informed neural networks for a Lithium-ion batteries model: A case of study.

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Title: Physics-informed neural networks for a Lithium-ion batteries model: A case of study.
Authors: Colace, Francesco1, fcolace@unisa.it, Conte, Dajana2, dajconte@unisa.it, Pagano, Giovanni2, gpagano@unisa.it, Paternoster, Beatrice2, beapat@unisa.it, Valentino, Carmine1, cvalentino@unisa.it
Source: Advances in Computational Science & Engineering (ACSE); Dec2024, Vol. 2 Issue 4, p1-14, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182161983
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Physics-informed neural networks for a Lithium-ion batteries model: A case of study.
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  Data: <searchLink fieldCode="AU" term="%22Colace%2C+Francesco%22">Colace, Francesco</searchLink><relatesTo>1</relatesTo>, <i>fcolace@unisa.it</i><br /><searchLink fieldCode="AU" term="%22Conte%2C+Dajana%22">Conte, Dajana</searchLink><relatesTo>2</relatesTo>, <i>dajconte@unisa.it</i><br /><searchLink fieldCode="AU" term="%22Pagano%2C+Giovanni%22">Pagano, Giovanni</searchLink><relatesTo>2</relatesTo>, <i>gpagano@unisa.it</i><br /><searchLink fieldCode="AU" term="%22Paternoster%2C+Beatrice%22">Paternoster, Beatrice</searchLink><relatesTo>2</relatesTo>, <i>beapat@unisa.it</i><br /><searchLink fieldCode="AU" term="%22Valentino%2C+Carmine%22">Valentino, Carmine</searchLink><relatesTo>1</relatesTo>, <i>cvalentino@unisa.it</i>
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  Data: <searchLink fieldCode="JN" term="%22Advances+in+Computational+Science+%26+Engineering+%28ACSE%29%22">Advances in Computational Science & Engineering (ACSE)</searchLink>; Dec2024, Vol. 2 Issue 4, p1-14, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182161983
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        Value: 10.3934/acse.2024018
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      – Code: eng
        Text: English
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              M: 12
              Text: Dec2024
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              Y: 2024
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