A neural network trained on videos of inverted vials infers liquid viscosity from 0.01 to 1000 Pa.s with 15 to 25 percent relative error, using only a camera, a motor, and known density.
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High-throughput viscometry via machine-learning from videos of inverted vials
A neural network trained on videos of inverted vials infers liquid viscosity from 0.01 to 1000 Pa.s with 15 to 25 percent relative error, using only a camera, a motor, and known density.