A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation-Reference-Cited by-同舟云学术

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A Machine Learning and Computer Vision Approach to Rapidly Optimize Multiscale Droplet Generation

Published:2022-01-13 Issue:3 Volume:14 Page:4668-4679
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Siemenn Alexander E.¹^ORCID,Shaulsky Evyatar²,Beveridge Matthew³,Buonassisi Tonio¹^ORCID,Hashmi Sara M.²^ORCID,Drori Iddo³

Affiliation:

1. Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

2. Department of Chemical Engineering, Northeastern University, Boston, Massachusetts 02115, United States

3. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

Funder

Division of Engineering Education and Centers

Google

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.1c19276

Reference45 articles.

1. Overcoming Rayleigh–Plateau instabilities: Stabilizing and destabilizing liquid-metal streams via electrochemical oxidation

2. On the breakup of viscous liquid threads

3. Droplets Formation and Merging in Two-Phase Flow Microfluidics

4. Microscale tipstreaming in a microfluidic flow focusing device

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