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A Deep Learning Perspective on Dropwise Condensation

A Deep Learning Perspective on Dropwise Condensation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f635050c728e448c9df6263d5c9f0d44

A Deep Learning Perspective on Dropwise Condensation

About this item

Full title

A Deep Learning Perspective on Dropwise Condensation

Publisher

Germany: John Wiley & Sons, Inc

Journal title

Advanced science, 2021-11, Vol.8 (22), p.e2101794-n/a

Language

English

Formats

Publication information

Publisher

Germany: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Condensation is ubiquitous in nature and industry. Heterogeneous condensation on surfaces is typified by the continuous cycle of droplet nucleation, growth, and departure. Central to the mechanistic understanding of the thermofluidic processes governing condensation is the rapid and high‐fidelity extraction of interpretable physical descriptors fro...

Alternative Titles

Full title

A Deep Learning Perspective on Dropwise Condensation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f635050c728e448c9df6263d5c9f0d44

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f635050c728e448c9df6263d5c9f0d44

Other Identifiers

ISSN

2198-3844

E-ISSN

2198-3844

DOI

10.1002/advs.202101794

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