110 papers
This paper presents two novel microfluidic platforms—one utilizing pillar arrays and the other employing a custom Pt-coated PMMA photomask—for the in situ micropatterning of PEGDA-PEG hydrogels to enable precise control and tracking of molecular diffusion for diverse applications ranging from biosensing to drug delivery.
This study utilizes Surface Evolver simulations to define the geometric and capillary pressure conditions under which "bridging" enables stable, simultaneous two-phase flow in microfluidic porous media, demonstrating that such steady flow is achievable in networks with cylindrical pillars but not in long, curved channels where snap-off dominates.
This study characterizes and optimizes varicose vein sclerotherapy foams by modeling their flow properties, concluding that the most effective foams possess a Bingham number of 600 for 2mm veins alongside a narrow bubble size distribution.
This study simulates the quasi-static motion of a sphere through a horizontal soap film to demonstrate that a bubble is entrained when the contact angle is below $90^\circ$, with the resulting bubble size increasing for larger particles and smaller contact angles, particularly when the film is constrained by a fixed wire frame.
This paper presents conjectured candidates for the least-perimeter partition of a disc into up to ten regions of two distinct areas by enumerating three-connected simple cubic graphs, numerically evaluating their perimeters across various area ratios, and interpolating the results to identify optimal structures for different configurations.
This paper demonstrates through simulations and experiments that "scutoid" cells, previously identified in curved epithelial tissues, also emerge in dry soap froths when subjected to boundary curvature.
Simulations using the Surface Evolver demonstrate that ideal two-dimensional foams and emulsions with finite contact angles develop spontaneous inhomogeneities (flocculation) at high liquid fractions, with disordered foams exhibiting steady growth of this instability without requiring external perturbation.
This study investigates field-driven spin reversal in nanoassemblies of triangles, demonstrating how the transition from pairwise to triangle-based antiferromagnetic interactions alters hysteresis loops and induces self-organized criticality in Barkhausen noise purely through geometric frustration.
By integrating the Young-Laplace equation with gravity effects, this study determines the specific ranges of Bond number and contact angle that allow a substrate to support equilibrium Plateau borders, thereby defining the conditions under which a surface is foam-philic versus foam-phobic.
Through photoelastic experiments on partially-bonded granular materials, the study reveals that interparticle cohesion enhances bulk strength and stiffness by creating localized force and connectivity concentrations around bonded dimers, which broaden force distributions and increase local pressure through both tensile and compressive contributions.
This study combines variational analysis and molecular dynamics simulations to map the ground-state phase diagram of two-dimensional core-softened particles, revealing a rich landscape of cluster lattices, Bravais structures, and frustration-induced quasicrystals driven by competing length scales.
This paper establishes a universal scaling framework for deep indentation of soft elastic materials beyond the Hertzian regime by deriving closed-form solutions that accurately predict contact force and radius up to extreme deformations, validated through finite element analysis and diverse experiments ranging from synthetic polymers to biological tissues.
Contrary to the conventional expectation that electrowetting promotes droplet spreading, this study reveals that applying DC voltage to specific microtextured, lubricant-infused surfaces in a Cassie wetting state induces rapid tangential droplet ejection due to unbalanced electrocapillary forces and minimal pinning, offering a new paradigm for controlled droplet transport.
This paper reviews and synthesizes theories attributing the glass transition slowdown to localized excitations and their elastic interactions, arguing that the evolution of the excitation spectrum—rather than growing thermodynamic length scales—governs liquid fragility and provides a quantitative, parameter-free framework for understanding dynamical heterogeneities and activation energies.
This paper demonstrates that Boltzmann Generators can effectively sample the liquid-gas critical point of a Lennard-Jones fluid and capture critical signatures, though their current utility is constrained by small system sizes that suppress large-scale fluctuations.
This study demonstrates that substituting electron-donating groups with fluorine or chlorine atoms in the molecular core of liquid crystals successfully induces a ferroelectric nematic phase, revealing strong polar surface anchoring and providing key insights for designing novel ferroelectric nematogens.
This paper demonstrates that viscosity serves as a reliable indicator for determining the extent of complex formation in concentrated electrolyte solutions, using comparative simulations and experiments on FeCl and MgCl to show that higher viscosity correlates with greater speciation, a finding validated by recent X-ray and neutron scattering data.
This paper presents a rotational multimaterial 3D printing strategy that encodes programmable intrinsic curvature and twist into active-passive elastomeric filaments, enabling the fabrication of shape-morphing lattices with independently controlled bending and torsion for adaptive robotic applications.
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.