A Deep Learning Perspective on Dropwise Condensation

A Deep Learning Perspective on Dropwise Condensation

Abstract 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‐fi...

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Bibliographic Details
Main Authors: Youngjoon Suh, Jonggyu Lee, Peter Simadiris, Xiao Yan, Soumyadip Sett, Longnan Li, Kazi Fazle Rabbi, Nenad Miljkovic, Yoonjin Won
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Advanced Science
Subjects:
AI computer vision
deep learning
droplet statistics
dropwise condensation
real‐time heat transfer mapping
Online Access:https://doi.org/10.1002/advs.202101794

Internet

https://doi.org/10.1002/advs.202101794

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