3 papers
cs.LG2022
Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement
Aryan Mehboudi, Shrawan Singhal, S. V. Sreenivasan
We propose a platform based on neural networks to solve the image-to-image translation problem in the context of squeeze flow of micro-droplets. In the first part of this paper, we…
physics.flu-dyn2018
A passive Stokes flow rectifier for Newtonian fluids
Aryan Mehboudi, Junghoon Yeom
Non-linear effects of the Navier-Stokes equations disappear under the Stokes regime of Newtonian fluid flows disallowing the fluid flow rectification. Here we show mathematically a…
physics.flu-dyn2018
Experimental and theoretical investigation of a low-Reynolds-number flow through deformable shallow microchannels with ultra-low height-to-width aspect ratios
Aryan Mehboudi, Junghoon Yeom
The emerging field of deformable microfluidics widely employed in the Lab-on-a-Chip and MEMS communities offers an opportunity to study a relatively under-examined physics. The mai…