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Title: Experiments and computations of microfluidic liquid–liquid flow patterns

Abstract

A high accuracy model is built using machine learning to predict flow patterns, providing a powerful tool for continuous flow microreactor design.

Authors:
 [1];  [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [2]; ORCiD logo [4]
  1. Department of Chemical and Biomolecular Engineering, University of Delaware, Delaware 19716, USA
  2. Laboratory of Catalysis and Catalytic Processes, Dipartimento di Energia, Politecnico di Milano, 20156 Milano, Italy
  3. Catalysis Center for Energy Innovation, Delaware 19716, USA
  4. Department of Chemical and Biomolecular Engineering, University of Delaware, Delaware 19716, USA, Catalysis Center for Energy Innovation
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1569773
Grant/Contract Number:  
EE0007888-7.6
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Reaction Chemistry & Engineering
Additional Journal Information:
Journal Name: Reaction Chemistry & Engineering; Journal ID: ISSN 2058-9883
Publisher:
Royal Society of Chemistry (RSC)
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, and Vlachos, Dionisios G. Experiments and computations of microfluidic liquid–liquid flow patterns. United Kingdom: N. p., 2020. Web. doi:10.1039/C9RE00332K.
Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, & Vlachos, Dionisios G. Experiments and computations of microfluidic liquid–liquid flow patterns. United Kingdom. doi:10.1039/C9RE00332K.
Desir, Pierre, Chen, Tai-Ying, Bracconi, Mauro, Saha, Basudeb, Maestri, Matteo, and Vlachos, Dionisios G. Wed . "Experiments and computations of microfluidic liquid–liquid flow patterns". United Kingdom. doi:10.1039/C9RE00332K.
@article{osti_1569773,
title = {Experiments and computations of microfluidic liquid–liquid flow patterns},
author = {Desir, Pierre and Chen, Tai-Ying and Bracconi, Mauro and Saha, Basudeb and Maestri, Matteo and Vlachos, Dionisios G.},
abstractNote = {A high accuracy model is built using machine learning to predict flow patterns, providing a powerful tool for continuous flow microreactor design.},
doi = {10.1039/C9RE00332K},
journal = {Reaction Chemistry & Engineering},
number = ,
volume = ,
place = {United Kingdom},
year = {2020},
month = {1}
}

Journal Article:
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This content will become publicly available on October 1, 2020
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