Neural network hybrid model of a direct internal reforming solid oxide fuel cell

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dc.contributor.authorKattiyapon Chaichana
dc.contributor.authorYaneeporn Patcharavorachot
dc.contributor.authorBhawasut Chutichai
dc.contributor.authorDang Saebea
dc.contributor.authorSuttichai Assabumrungrat
dc.contributor.authorAmornchai Arpornwichanop
dc.date.accessioned2025-07-21T05:52:25Z
dc.date.issued2011-11-19
dc.identifier.doi10.1016/j.ijhydene.2011.10.051
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/3175
dc.subjectPower density
dc.subjectIsothermal process
dc.subject.classificationAdvancements in Solid Oxide Fuel Cells
dc.titleNeural network hybrid model of a direct internal reforming solid oxide fuel cell
dc.typeArticle

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