101 papers
This study characterizes the magnetic properties of an individual *Magnetospirillum gryphiswaldense* bacterium by combining ultrasensitive torque magnetometry, transmission electron microscopy, and micromagnetic simulations to reveal the magnetic configurations, remanent moment, and effective anisotropy of its internal magnetosome chain.
This paper demonstrates that wave-like spatial statistics in walking-droplet quantum analogs can be generically explained by the low-dimensional nonlinear dynamics of inertial active particles with internal degrees of freedom, rather than requiring nonlocal wave effects.
This paper reviews various physical models, ranging from discrete to continuum approaches, used to understand the mechanics and coordination of embryonic epithelial wound healing, while highlighting the trade-offs between complexity and interpretability and proposing future directions for hybrid modeling and experimental integration.
This paper proposes a molecular kinetic model for Lennard-Jones fluids that accurately reproduces equilibrium properties and reveals significant deviations from the classical Hertz-Knudsen relation under non-equilibrium evaporation conditions, thereby advancing the development of efficient computational frameworks for real fluid flows.
This paper establishes a hydrodynamic framework for force dipoles in compressible membranes with odd viscosity by deriving an exact Green tensor that reveals distinct dynamical regimes and chiral observables, such as transverse drift and relative motion, arising from the interplay of shear, compressional, and odd-viscous modes.
This paper extends classical nucleation theory for virus capsid assembly by incorporating thermal rim fluctuations, demonstrating that these geometric undulations generate an entropic contribution that renormalizes effective line tension and can either lower or raise the nucleation barrier depending on binding energy and temperature.
This paper introduces a minimal model demonstrating that inhomogeneous external friction, through hydrodynamic screening and mechanochemical frustration, can actively guide and oscillate pattern formation in active fluids by coupling local stress regulation with flow-induced chemical redistribution.
This paper demonstrates that a shape-changing microswimmer, guided by reinforcement learning to adapt its aspect ratio based on local flow signals, can robustly maximize its displacement in turbulent environments, outperforming fixed-shape strategies and revealing a physically interpretable control paradigm for navigation in complex flows.
This paper presents a physics-consistent neural network framework for solving Cosserat elasticity problems in microstructured media, which enforces kinematic constraints during training and utilizes derived stability conditions like quasiconvexity and Legendre-Hadamard inequalities to validate the energetic stability of the learned equilibrium solutions.
This study demonstrates that increasing particle elasticity governs the non-equilibrium self-assembly of colloidal microgels at a drying air-water interface, driving a transition from repulsion-stabilized crystallization to attraction-dominated gelation through diverse metastable structures, a phenomenon successfully reproduced by molecular dynamics simulations incorporating hydrophobic, capillary, steric, and dipolar interactions.
This paper demonstrates a method using a dynamic optical trap with tunable parameters and correlated noise to experimentally realize and systematically study the microrheological response of configurable viscoelastic media, including single- and double-relaxation fluids, which are otherwise difficult to access with real materials.
This paper presents an extended non-affine deformation theory incorporating a time-dependent memory kernel within the Generalized Langevin Equation, which successfully predicts the viscoelastic response of poly(methyl methacrylate) across twenty frequency decades and validates these findings against diverse experimental and computational methods.
This study reveals that wear in multiple network elastomers is driven by the continuous accumulation of subsurface molecular damage via stress-activated bond scission, rather than microcrack growth, offering a new mechanistic framework for designing more sustainable, wear-resistant materials.
This paper extends the two-state, two-timescale (TS2) theory to provide a unified, parameter-free framework that quantitatively describes both the structural -relaxation and the recently observed slow Arrhenius process (SAP) in amorphous polymers by modeling the SAP as the high-temperature limit of cluster-scale relaxation, while also predicting its eventual transition to Vogel-Fulcher-Tammann-Hesse dynamics at lower temperatures.
This paper introduces a thermodynamic model that learns low-dimensional, context-independent representations of intrinsically disordered protein (IDR) sequences to quantitatively predict their partitioning and multicomponent phase behavior in complex mixtures, providing a unified and interpretable framework for understanding biomolecular condensate formation.
This study experimentally demonstrates that the effective friction coefficient of a sphere rolling on a granular slope is governed by a linear relationship with the normalized sinking depth, where the intercept decreases with the slip ratio while the slope remains constant.
This paper presents a theoretical framework demonstrating that wall friction significantly alters the quasistatic mechanical response of confined poroelastic media by introducing hysteresis, slip fronts, and energy dissipation mechanisms that depend on whether the system is driven by piston loading or fluid pressure.
This paper investigates the nonlinear breakup dynamics of an active chiral fluid strip, demonstrating through analytical slender body theory and numerical simulations that its thickness vanishes as a power law in finite time, with results showing strong agreement with experimental observations.
Using molecular dynamics simulations, this study demonstrates that the collapse of extended polymers exhibits scale-free cluster-cluster aggregation with universal dynamic scaling, where the growth exponent remains constant () across varying bending stiffness, while deviations from standard diffusion-controlled relations in stiffer polymers arise from stiffness-dependent variations in cluster structure and effective diffusion.
This study reports the first demonstration of intrinsic, defect-driven resistive switching in pure gold nanowires synthesized within microtubule templates, establishing a new mechanism for reconfigurable interconnects and neuromorphic computing architectures.