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SWAGELOK NORTHERN CALIFORNIA

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Learning from Droplet Flows in Microfluidic Channels Using Deep Neural Networks

by Jeff Hopkins, on 10/21/19 9:00 AM

Scientists have developed a non-intrusive method for measuring fluidic properties in a microfluidic chip. Numerous images of flowing droplets are used to train deep neural networks (DNN) to predict the flow rate, which can be done with extreme accuracy and high resolution.

Read the full article on Nature.com

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