14 citations · 19 across the 4 of their papers we have counts for
4 papers
Shape-design for stabilizing micro-particles in inertial microfluidic flows
Aditya Kommajosula, Daniel Stoecklein, Dino Di Carlo +1
Design of microparticles which stabilize at the centerline of a channel flow when part of a dilute suspension is examined numerically for moderate Reynolds numbers ($10 \le Re \le…
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning
Xian Yeow Lee, Aditya Balu, Daniel Stoecklein +2
Microfluidic devices are utilized to control and direct flow behavior in a wide variety of applications, particularly in medical diagnostics. A particularly popular form of microfl…
Deep Action Sequence Learning for Causal Shape Transformation
Kin Gwn Lore, Daniel Stoecklein, Michael Davies +2
Deep learning became the method of choice in recent year for solving a wide variety of predictive analytics tasks. For sequence prediction, recurrent neural networks (RNN) are ofte…
Optimization of micropillar sequences for fluid flow sculpting
Daniel Stoecklein, Chueh-Yu Wu, Donghyuk Kim +2
Inertial fluid flow deformation around pillars in a microchannel is a new method for controlling fluid flow. Sequences of pillars have been shown to produce a rich phase space with…