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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26577
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dc.contributor.authorTraverso, T-
dc.contributor.authorColetti, F-
dc.contributor.authorMagri, L-
dc.contributor.authorKarayiannis, TG-
dc.contributor.authorMatar, OK-
dc.coverage.spatialCape Town, RSA-
dc.date.accessioned2023-05-31T10:22:32Z-
dc.date.available2023-05-31T10:22:32Z-
dc.date.issued2023-08-14-
dc.identifierORCID iD: Francesco Coletti https://orcid.org/0000-0001-9445-0077; Tassos Karayiannis https://orcid.org/0000-0002-5225-960X-
dc.identifier.citationTraverso, T. et al. (2023) 'A machine learning approach to the prediction of heat transfer coefficients in microchannels', Proceedings of the 17th International Heat Transfer Conference, Cape Town, Republic of South Africa, 14-18 August, pp. 1 - 8.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26577-
dc.description.abstract...en_US
dc.description.sponsorshipEngineering and Physical Sciences Research Council, UK, through the grant Boiling Flows in Small and Microchannels (BONSAI): From Fundamentals to Design (EP/T03338X/1, EP/T033045/1), Programme Grant PREMIERE (EP/T000414/1); Alan Turing Institute; L. Magri acknowledges financial support from the ERC Starting Grant PhyCo 949388en_US
dc.format.mediumElectronic-
dc.language.isoenen_US
dc.publisherIHTCen_US
dc.source17th International Heat Transfer Conference-
dc.source17th International Heat Transfer Conference-
dc.subjectGaussian process regressionsen_US
dc.subjectdata-driven modellingen_US
dc.subjectflow boilingen_US
dc.subjectmicro-tubesen_US
dc.titleA machine learning approach to the prediction of heat transfer coefficients in microchannelsen_US
dc.typeConference Paperen_US
dc.relation.isPartOfProceedings of the 17th International Heat Transfer Conference-
pubs.finish-date2023-05-18-
pubs.finish-date2023-05-18-
pubs.publication-statusAccepted-
pubs.start-date2023-08-14-
pubs.start-date2023-08-14-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Embargoed Research Papers
Dept of Chemical Engineering Embargoed Research Papers

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