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Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers

dc.rights.licenseAutresen_US
dc.contributor.authorFiore, Matilde
dc.contributor.authorKoloszar, Lilla
dc.contributor.authorFare, Clynde
dc.contributor.authorMendez,Miguel Alfonso
dc.contributor.authorDuponcheel, Matthieu
dc.contributor.authorBARTOSIEWICZ, Yann
dc.date.accessioned2023-11-14T19:31:03Z
dc.date.available2023-11-14T19:31:03Z
dc.date.issued2022
dc.identifier.urihttps://luck.synhera.be/handle/123456789/2524
dc.publisherInternational Journal of Heat and Mass Transferen_US
dc.titlePhysics-constrained machine learning for thermal turbulence modelling at low Prandtl numbersen_US
dc.typeArticle Scientifiqueen_US
synhera.stakeholders.fundAutresen_US


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