Predicting microfluidic droplet diameters in glass capillary devices using machine learning

IF 1.9 4区化学 Q4 CHEMISTRY, PHYSICAL

Journal of Dispersion Science and Technology Pub Date : 2024-07-01 DOI:10.1080/01932691.2024.2370961

Serena J. Holte, Dheeraj Sapkota, Laura L. A. Adams

引用次数: 0

Abstract

Using actual experimental data of single emulsion diameters generated from glass capillary microfluidic devices, we report predictions for droplet diameters in both dripping and jetting regimes usi...

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来源期刊

Journal of Dispersion Science and Technology 化学-物理化学

CiteScore

5.00

自引率

4.50%

发文量

140

审稿时长

1.1 months

期刊介绍： Journal of Dispersion Science and Technology is an international journal covering fundamental and applied aspects of dispersions, emulsions, vesicles, microemulsions, liquid crystals, particle suspensions and sol-gel processes. Fundamental areas that are covered include new surfactants, polymers and indigenous stabilizers; surfactant and polymer association as well as phase equilibria in systems water and oil; surfactant and polymer films, monolayers and interfacial films; adsorption and desorption onto solid surfaces; stability and destabilization of dispersions, emulsions and particle suspensions; collodal templates and sol-gel processing. Industrial applications cover chemicals, crude oils, food, pharmaceuticals, agriculture, nanotechnology, and soft condensed materials.