Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulat...
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results
About this item
Full title
Author / Creator
Liu, Yang , Dinh, Nam , Sato, Yohei and Niceno, Bojan
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Boiling heat transfer occurs in many situations and can be used for thermal management in various engineered systems with high energy density, from power electronics to heat exchangers in power plants and nuclear reactors. Essentially, boiling is a complex physical process that involves interactions between heating surface, liquid, and vapor. For e...
Alternative Titles
Full title
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2092755027
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2092755027
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1808.01859
