11 citations · 36 across the 10 of their papers we have counts for
3 papers · 1 filter
Measuring arrangement and size distributions of flowing droplets in microchannels through deep learning
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6
In microfluidic systems, droplets undergo intricate deformations as they traverse flow-focusing junctions, posing a challenging task for accurate measurement, especially during sho…
Learning of viscosity functions in rarefied gas flows with physics-informed neural networks
Jean-Michel Tucny, Mihir Durve, Andrea Montessori +1
The prediction non-equilibrium transport phenomena in disordered media is a difficult problem for conventional numerical methods. An example of a challenging problem is the predict…
Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi +6
Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a tool to analyze general microfluidic videos to infer physical quantities. The state-of…