Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles-Reference-Cited by-同舟云学术

Machine Learning-Aided Microdroplets Breakup Characteristic Prediction in Flow-Focusing Microdevices by Incorporating Variations of Cross-Flow Tilt Angles

Published:2022-08-16 Issue:34 Volume:38 Page:10465-10477
ISSN:0743-7463
Container-title:Langmuir
language:en
Short-container-title:Langmuir

Author:

Talebjedi Bahram¹²^ORCID,Abouei Mehrizi Ali²,Talebjedi Behnam³,Mohseni Seyed Sepehr²,Tasnim Nishat¹⁴^ORCID,Hoorfar Mina¹⁴^ORCID

Affiliation:

1. School of Engineering, University of British Columbia, Kelowna, British Columbia V1V 1V7, Canada

2. Faculty of New Sciences and Technologies, University of Tehran, Tehran 1439957131, Iran

3. Department of Mechanical Engineering, School of Engineering, Aalto University, Espoo 02150, Finland

4. Faculty of Engineering and Computer Science, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

University of British Columbia

Publisher

American Chemical Society (ACS)

Subject

Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.2c01255

Reference40 articles.

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