Learning The Fluid/Flow Properties Using Microfluidics
Optics Laboratory, School of Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland
2 Computational Science and Engineering Laboratory, ETH Zurich, 8092 Zurich, Switzerland.
* Corresponding author: email@example.com
Published online: 10 September 2019
Deep neural networks (DNN) are employed to measure the flow rate and the concentration of the liquid using the images of the droplets in a microfluidic device. The trained networks are able to measure flow rates and concentrations with good accuracy.
© The Authors, published by EDP Sciences, 2019
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