112 papers
Using minimal models of water-filled carbon nanotubes, this study reveals that one-dimensional nanopores induce anomalously large, ion-size-dependent confinement penalties that contradict the Born equation and are dramatically mitigated by a giant, concentration-dependent ion-screening effect from background electrolytes.
Zeitz, Wolf, and Stark demonstrate that while active and Brownian particles exhibit similar subdiffusive behavior near the percolation threshold in a random Lorentz gas, active particles reach steady state faster and display lower effective diffusion at high activity due to self-trapping effects.
This paper demonstrates that in dense active-passive mixtures, increasing the persistence of active dopants triggers a transition from homogeneous fluidization to a localized mechanical instability, where stress accumulation nucleates voids and drives a distinct nonequilibrium localization mechanism reminiscent of crowd dynamics.
This paper derives Navier-Stokes hydrodynamic equations and calculates transport coefficients for confined, quasi-two-dimensional mixtures of inelastic hard spheres at moderate densities using the revised Enskog theory, applying the results to analyze thermal diffusion-driven segregation.
This study reveals that while the average shear modulus in jammed solids depends on the interparticle potential, its sample-to-sample fluctuations exhibit a universal critical exponent independent of both the potential and spatial dimension, providing a key foundation for a unified theoretical description of jamming and its link to sound scattering.
This paper presents an energy-conserving contact dynamics framework for arbitrary convex nonspherical rigid-body particles in 2D and 3D that prevents overlap while enabling continuous force evaluation, thereby providing a robust foundation for modeling the structural and transport properties of complex colloidal and granular systems.
This study validates the robustness of the Enskog kinetic theory for tracer diffusion in granular suspensions by comparing its predictions with Direct Simulation Monte Carlo and Molecular Dynamics simulations across a wide range of intruder masses and friction parameters.
This paper introduces a versatile, momentum-conserving agent-based model for active flexible rods that successfully reproduces key hallmarks of active turbulence, such as spontaneous flows and defect dynamics, while also capturing emergent density-orientation coupling and enabling the simulation of complex phenomena like 3D flows and tissue growth.
This paper analytically and numerically investigates the non-equilibrium dynamics of a tracer particle driven through a disordered, confined lattice, revealing how confinement induces dimensional crossovers, qualitatively alters force-dependent diffusion, and sustains superdiffusive fluctuations even under external driving.
This study establishes that stiffer alginate gels deposit more efficiently in microchannel flows, demonstrating that higher component concentrations and flow rates enhance deposition while reducing gel swelling, with ablation occurring when shear stress overcomes the gel's adhesive energy or yield stress.
This study demonstrates that ferroelectric nematic liquid crystals exhibit reversible, large-scale electrochromic tuning of their reflection wavelength under electric fields applied along the helix axis, a phenomenon attributed to helical deformation and supported by a theoretical model that also estimates the splay elastic constant.
This study employs rigidity-based spring network analysis on thousands of metal-organic frameworks to reveal that while most are formally over-constrained, they cluster near mechanical instability due to accidental geometric modes, suggesting a design principle rooted in near-criticality that can be stabilized by tuning long-range constraints.
This paper presents a noise-cancellation method that generalizes techniques from piezoelectric coupling to accurately compute finite-temperature elastic constants across diverse crystalline and disordered systems by evaluating stress differences between identically thermostatted strained and unstrained simulations.
This paper derives a new extended dynamical density functional theory (EDDFT) for nonisothermal binary systems by incorporating momentum and energy densities via the Mori-Zwanzig-Forster projection operator technique, thereby enabling the description of both diffusive and convective dynamics while yielding exact functionals for hard spheres and correctly predicting the speed of sound.
This paper reviews a collisional -model for vertically vibrated confined granular fluids, deriving hydrodynamic equations via kinetic theory that predict stable homogeneous states, energy nonequipartition in mixtures, and the violation of Onsager reciprocity, with theoretical results showing strong agreement with numerical simulations.
This paper introduces a minimal kinetic model of dissipative hard disks with collision-induced chirality to derive nonlinear hydrodynamic equations and analytically predict odd transport coefficients, such as odd viscosity and thermal conductivity, which are validated by numerical simulations.
This study utilizes molecular dynamics simulations to investigate the flow dynamics of two-dimensional deformable ring particles in a confined channel, revealing how particle stiffness influences flow properties and leads to the effective segregation of soft and hard particles in mixtures.
This study investigates the formation, motion, and interactions of topological defects in both the translational lattice and the geometrically frustrated spin states of vertically confined buckled colloidal monolayers, revealing how these defects drive grain boundary structures and spin domain coarsening to predict the system's material properties and aging.
Through experiments on a colloidal particle in an optical tweezer, the authors demonstrate that simultaneously scaling deterministic forces and adding external noise accelerates the Langevin clock, thereby keeping driven systems closer to thermal equilibrium and enabling more precise free-energy recovery for applications in thermodynamic computing.
This paper employs the random first-order transition theory and a generalized Master equation to characterize the non-Markovian, aging dynamics of thermal avalanches in driven amorphous systems, utilizing full counting statistics to derive the complete distributions of avalanche magnitudes and counts under various driving protocols.