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Deep Learning of Forced Convection Heat Transfer
Munku Kang,
Beomjin Kwon
Mechanical and Aerospace Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
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Dive into the research topics of 'Deep Learning of Forced Convection Heat Transfer'. Together they form a unique fingerprint.
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Physics & Astronomy
forced convection
74%
learning
66%
heat transfer
47%
education
35%
friction factor
16%
fluids
14%
geometry
13%
Nusselt number
13%
Reynolds number
10%
time measurement
9%
costs
9%
augmentation
7%
predictions
6%
temperature
3%
Chemical Compounds
Convective Heat Transfer
100%
Heat Transfer
65%
Flow
39%
Nusselt Number
36%
Reynolds Number
27%
Engineering & Materials Science
Forced convection
69%
Deep learning
54%
Heat transfer
40%
Fluids
15%
Geometry
14%
Nusselt number
12%
Reynolds number
10%
Friction
8%
Temperature
4%
Costs
4%