Machine learning for predicting microfluidic droplet generation properties

DOI10.1016/J.COMPFLUID.2022.105651OpenAlexW4293523387WikidataQ114194197 ScholiaQ114194197MaRDI QIDQ2084128

Yanyan Li

Publication date: 17 October 2022

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2022.105651

zbMATH Keywords

machine learningmicrofluidicsconvolutional neural networksdeep learning

Mathematics Subject Classification ID

Fluid mechanics (76-XX)

Uses Software

• PyTorch
• ImageNet
• Adam
• AlexNet
• EikoNet

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