TY - JOUR
T1 - Driven dynamics in dense suspensions of microrollers
AU - Sprinkle, Brennan
AU - Van Der Wee, Ernest B.
AU - Luo, Yixiang
AU - Driscoll, Michelle M.
AU - Donev, Aleksandar
N1 - Funding Information:
We thank Paul Chaikin and Blaise Delmotte for numerous informative discussions regarding microrollers, and an anonymous reviewer for bringing work of Cichocki and Jones to our attention. B. S. and A. D. thank Adam Townsend, Helen Wilson, and James Swan for their help with constructing accurate pairwise lubrication formulas, and Eric Vanden-Eijnden for informative discussions about analyzing bistable dynamics. E. B. v. d. W. and M. D. thank Mena Youssef and Stefano Sacanna for providing the hematite-TPM particles and Kevin Ryan and Venkat Chandrasekhar for help with 3D printing the frame for the Helmholtz coil set. This work was supported by the National Science Foundation under award number CBET-1706562. B. S. and A. D. were supported by the National Science Foundation via the Research Training Group in Modeling and Simulation under award RTG/DMS-1646339, by the MRSEC Program under award DMR-1420073. B. S. and A. D. also thank the NVIDIA Academic Partnership program for providing GPU hardware for performing the simulations reported here.
Publisher Copyright:
© 2020 The Royal Society of Chemistry.
PY - 2020/9/14
Y1 - 2020/9/14
N2 - We perform detailed computational and experimental measurements of the driven dynamics of a dense, uniform suspension of sedimented microrollers driven by a magnetic field rotating around an axis parallel to the floor. We develop a lubrication-corrected Brownian dynamics method for dense suspensions of driven colloids sedimented above a bottom wall. The numerical method adds lubrication friction between nearby pairs of particles, as well as particles and the bottom wall, to a minimally-resolved model of the far-field hydrodynamic interactions. Our experiments combine fluorescent labeling with particle tracking to trace the trajectories of individual particles in a dense suspension, and to measure their propulsion velocities. Previous computational studies [B. Sprinkle et al., J. Chem. Phys., 2017, 147, 244103] predicted that at sufficiently high densities a uniform suspension of microrollers separates into two layers, a slow monolayer right above the wall, and a fast layer on top of the bottom layer. Here we verify this prediction, showing good quantitative agreement between the bimodal distribution of particle velocities predicted by the lubrication-corrected Brownian dynamics and those measured in the experiments. The computational method accurately predicts the rate at which particles are observed to switch between the slow and fast layers in the experiments. We also use our numerical method to demonstrate the important role that pairwise lubrication plays in motility-induced phase separation in dense monolayers of colloidal microrollers, as recently suggested for suspensions of Quincke rollers [D. Geyer et al., Phys. Rev. X, 2019, 9(3), 031043].
AB - We perform detailed computational and experimental measurements of the driven dynamics of a dense, uniform suspension of sedimented microrollers driven by a magnetic field rotating around an axis parallel to the floor. We develop a lubrication-corrected Brownian dynamics method for dense suspensions of driven colloids sedimented above a bottom wall. The numerical method adds lubrication friction between nearby pairs of particles, as well as particles and the bottom wall, to a minimally-resolved model of the far-field hydrodynamic interactions. Our experiments combine fluorescent labeling with particle tracking to trace the trajectories of individual particles in a dense suspension, and to measure their propulsion velocities. Previous computational studies [B. Sprinkle et al., J. Chem. Phys., 2017, 147, 244103] predicted that at sufficiently high densities a uniform suspension of microrollers separates into two layers, a slow monolayer right above the wall, and a fast layer on top of the bottom layer. Here we verify this prediction, showing good quantitative agreement between the bimodal distribution of particle velocities predicted by the lubrication-corrected Brownian dynamics and those measured in the experiments. The computational method accurately predicts the rate at which particles are observed to switch between the slow and fast layers in the experiments. We also use our numerical method to demonstrate the important role that pairwise lubrication plays in motility-induced phase separation in dense monolayers of colloidal microrollers, as recently suggested for suspensions of Quincke rollers [D. Geyer et al., Phys. Rev. X, 2019, 9(3), 031043].
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U2 - 10.1039/d0sm00879f
DO - 10.1039/d0sm00879f
M3 - Article
C2 - 32776032
AN - SCOPUS:85090249535
SN - 1744-683X
VL - 16
SP - 7982
EP - 8001
JO - Soft Matter
JF - Soft Matter
IS - 34
ER -