103 papers
This paper reviews analytical methods for solving low-Reynolds-number wedge and corner flow problems using the Papkovich-Neuber representation and the Fourier-Kontorovich-Lebedev integral transform to characterize Stokeslet and rotlet solutions for applications in microfluidics and confined hydrodynamics.
Through numerical simulations and a mean-field model, this study reveals that motile rods immersed in a sea of apolar rods undergo an antidiffusive instability to form flocks, a segregation process that paradoxically reduces global polar order and produces flock shapes dependent on the medium's rod aspect ratio.
This paper derives refined hydrodynamic models for lipid bilayers that incorporate a scalar order parameter to account for molecular alignment, resulting in surface Landau–Helfrich and Beris–Edwards models for asymmetric and symmetric bilayers respectively, which generalize and provide an alternative derivation for existing surface Navier–Stokes–Helfrich models.
This paper demonstrates that weak, slowly varying curvature on a torus surface provides robust geometric control over the location and morphology of motility-induced phase separation (MIPS) clusters in active Brownian particles, offering a sensitive platform for distinguishing between thermodynamic and kinetic theoretical frameworks.
This paper theoretically demonstrates that mass asymmetry between two interacting Brownian particles induces a net directional information flow from the heavier to the lighter particle, driven by the heavier particle's superior inertia and memory capacity, with the transfer magnitude scaling logarithmically with the mass ratio.
This paper presents a quantitative theory explaining how the spherical cell body of "eyeless" *Chlamydomonas* mutants acts as a lens to create internal caustics, causing a phototaxis sign reversal because the flagellar response is dominated by the rapidly varying lensed signal rather than the direct illumination.
This paper proposes and analyzes a machine-learning-optimized protocol that extracts work exceeding the conventional second law limits from a single active particle in a harmonic potential by measuring the relative sign of self-propulsion and confining forces to dynamically adjust the potential's stiffness.
This study reveals that confined active nematics can transition from chaotic flows to ordered, periodic dynamics through stable orbits of disclinations, where the specific "braid" patterns (such as "golden" and "silver" braids) emerge from a balance between the number of defects and flow vortices under strong confinement.
This paper presents a scalable, all-water supercapacitor ("blue capacitor") constructed from abundant clay and graphene that utilizes 1-nm nanoconfined water as a sole electrolyte to achieve high voltage stability, near-perfect efficiency, and exceptional cycle life.
This paper proposes a solution to the inverse problem of inferring a cell's three-dimensional pressure field from the one-dimensional height profile of a thin elastic membrane measured via Protrusion Force Microscopy, while also exploring the method's regime of applicability in experimental contexts.
This paper introduces linear control theory as a predictive framework for jammed amorphous materials, demonstrating that average controllability effectively forecasts particle rearrangement dynamics under shear stress and reveals how optimal time scales for this metric provide physical insight into the system's vibrational eigenmodes.
This paper experimentally demonstrates that environmental memory in non-Markovian systems can be harnessed as a thermodynamic resource to extract work exceeding the energy stored in observable degrees of freedom, thereby establishing concealed memory as a viable fuel for information engines.
This paper introduces a transparent scaling theory based on a compounding formula that decouples activity from polymer connectivity to accurately predict the mean-squared displacement of active polymers across diverse noise statistics, offering a unifying framework for understanding their non-equilibrium dynamics.
Using molecular dynamics simulations and a validated one-dimensional theoretical framework, this study reveals that ion adsorption at the water-silica interface generates molecular-scale roughness and additional friction, significantly increasing apparent viscosity and governing ultra-confined ionic transport in wetting films.
This paper investigates the over-damped dynamics of chiral active elastic filaments, deriving sixth-order nonlinear equations that reveal dynamic multi-stability in their shapes, and validates these theoretical predictions through linear stability analysis and numerical simulations.
The paper introduces SAFT-P, a plaquette-level extension of Statistical Associating Fluid Theory that improves the modeling of self-assembly in patchy colloids by retaining topology-dependent information and accurately predicting critical points and coexistence curves for particles with identical valence but different patch layouts.
This study presents a robust quantitative framework combining Mach-Zehnder interferometry with humidity-controlled confinement to precisely map the drying kinetics and internal concentration fields of water-glycerol droplets, successfully validating a diffusion-controlled evaporation model and extracting concentration-dependent transport properties while confirming that mass diffusion dominates over buoyancy-driven convection.
This study challenges the prevailing geometric paradigm of epithelial fluidization by demonstrating that reducing cell-cell adhesion can trigger a shape-independent transition to a fluid state, necessitating a revised theoretical model that accounts for adhesion's dual role in both interfacial energy and kinetic viscous drag.
This paper introduces MSS, a novel algorithm that generates multi-sphere representations of complex-shaped particles for DEM simulations, offering superior shape approximation accuracy at lower computational costs compared to existing methods.
This paper demonstrates that absolute negative mobility, a paradoxical phenomenon where a system moves opposite to an applied force, can occur in a minimal one-dimensional overdamped system driven by active Poisson shot noise within a symmetric periodic potential, offering new insights into biological transport and microscopic separation strategies.