activity
20052021
most citedRandom close packing revisited: How many ways can we pack frictionless disks?

138 citations · 759 across the 29 of their papers we have counts for

collaborators

29 papers

cond-mat.soft2021

Capillary imbibition of monodisperse emulsions in confined microfluidic channels

Masoud Norouzi Darabad, Sagnik Singha, Jerzy Blawzdziewicz +2

We investigate imbibition of a monodisperse emulsion into a low-aspect ratio microfluidic channel with the height h comparable to the droplet diameter d. For confinement ratio d/h…

cond-mat.soft2020★ 7 cited

Enhanced flow rate by the concentration mechanism of Tetris particles when discharged from a hopper with an obstacle

Guo-Jie Jason Gao, Fu-Ling Yang, Michael C. Holcomb +1

We apply a holistic 2D Tetris-like model, where particles move based on prescribed rules, to investigate the flow rate enhancement from a hopper. This phenomenon was originally rep…

cond-mat.soft2018★ 6 cited

Understanding the Local Flow Rate Peak of a Hopper Discharging Discs through an Obstacle Using a Tetris-like Model

Guo-Jie J. Gao, Jerzy Blawzdziewicz, Michael C. Holcomb +1

Placing a round obstacle above the orifice of a flat hopper discharging uniform frictional discs has been experimentally and numerically shown in the literature to create a local p…

physics.flu-dyn2018★ 44 cited

State diagram of a three-sphere microswimmer in a channel

Abdallah Daddi-Moussa-Ider, Maciej Lisicki, Arnold J. T. M. Mathijssen +5

Geometric confinements are frequently encountered in soft matter systems and in particular significantly alter the dynamics of swimming microorganisms in viscous media. Surface-rel…

physics.bio-ph2016★ 33 cited

Navigation of C. elegans in three-dimensional media: roll maneuvers and planar turns

Alejandro Bilbao, Amar K. Patel, Mizanur Rahman +2

Free-living nematode Caenorhabditis elegans is a powerful genetic model, essential for investigations ranging from behavior to neuroscience to aging, and locomotion is a key observ…

cond-mat.soft2016

Maximum likelihood estimations of force and mobility from short single Brownian trajectories

Raphael Sarfati, Jerzy Blawzdziewicz, Eric R. Dufresne

We describe a method to extract force and diffusion parameters from single trajectories of Brownian particles based on the principle of maximum likelihood. The analysis is well-sui…