Explainable AI models for predicting drop coalescence in microfluidics device-Reference-Cited by-同舟云学术

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Explainable AI models for predicting drop coalescence in microfluidics device

Published:2024-02 Issue: Volume:481 Page:148465
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Hu Jinwei^ORCID,Zhu Kewei^ORCID,Cheng Sibo^ORCID,Kovalchuk Nina M.^ORCID,Soulsby Alfred,Simmons Mark J.H.,Matar Omar K.,Arcucci Rossella

Publisher

Elsevier BV

Reference89 articles.

1. Intelligent microfluidics: The convergence of machine learning and microfluidics in materials science and biomedicine;Galan;Matter,2020

2. Coalescence of protein-stabilised emulsions studied with microfluidics;Muijlwijk;Food Hydrocolloids,2017

3. Droplet arrangement and coalescence in diverging/converging microchannels;Jose;Microfluid. Nanofluidics,2012

4. Study of drop coalescence and mixing in microchannel using ghost particle velocimetry;Kovalchuk;Chem. Eng. Res. Des.,2018

5. The effect of dissolved gas on coalescence of oil drops studied with microfluidics;Dudek;J. Colloid Interface Sci.,2018

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