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Low Reynolds number hydrodynamics

TLDR
Low Reynolds number flow theory finds wide application in such diverse fields as sedimentation, fluidization, particle-size classification, dust and mist collection, filtration, centrifugation, polymer and suspension rheology, and a host of other disciplines.
Abstract
Low Reynolds number flow theory finds wide application in such diverse fields as sedimentation, fluidization, particle-size classification, dust and mist collection, filtration, centrifugation, polymer and suspension rheology, flow through porous media, colloid science, aerosol and hydrosal technology, lubrication theory, blood flow, Brownian motion, geophysics, meteorology, and a host of other disciplines. This text provides a comprehensive and detailed account of the physical and mathematical principles underlying such phenomena, heretofore available only in the original literature.

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Direct observation of kinesin stepping by optical trapping interferometry

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Nonlinear dynamics and breakup of free-surface flows

TL;DR: In this article, the authors review the theoretical development of this field alongside recent experimental work, and outline unsolved problems, as well as a host of technological applications, ranging from printing to mixing and fiber spinning.
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The stress system in a suspension of force-free particles

TL;DR: In this paper, the authors consider the properties of the bulk stress in a suspension of non-spherical particles, on which a couple (but no force) may be imposed by external means, immersed in a Newtonian fluid.
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Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 2. Numerical results

TL;DR: In this paper, extensive numerical tests of the method are described; results are presented for creeping flows, both with and without Brownian motion, and at finite Reynolds numbers, and the short-time dynamics of random dispersions of up to 1024 colloidal particles have been simulated.
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Sedimentation in a dilute dispersion of spheres

TL;DR: In this article, the authors considered a large number of identical small rigid spheres with random positions which are falling through Newtonian fluid under gravity and determined the mean value of the velocity of a sphere (U).