A new eccentric-cylinder method enables the first experimental study of droplet dynamics in oscillatory extensional flow—validating models and providing benchmark data for future droplet rheology. pubs.aip.org/sor/jor/articl…

Bayesian inference of thermal grease rheology quantifies uncertainty in NEVP and TEVP models—showing parameter identifiability and tighter confidence from high-shear startup data. pubs.aip.org/sor/jor/articl…

Replicating prior studies, it's shown that wax–oil rheology depends strongly on cooling and shear history—highlighting long equilibration times and guiding thixotropic modeling for petroleum applications. pubs.aip.org/sor/jor/articl…

Time–temperature superposition extends FiSER limits for polymer solutions—revealing consistent shear/extensional shifts at low strain but solvent-quality-driven deviations at large strain. pubs.aip.org/sor/jor/articl…

Shear-banding wormlike micelles in Taylor–Couette flow reveal chemistry-dependent dynamics: elasticity and curvature drive stress overshoots, heterogeneities, and even transient flow reversal. pubs.aip.org/sor/jor/articl…

CPP3+ rheometry uses a piezoelectric inner partition to capture N₁ and N₂ in polymer melts—delaying edge fracture and enabling high-quality normal force data across wide shear rates. pubs.aip.org/sor/jor/articl…

Rheology-based sorting distinguishes recycled HDPE and PP by processing suitability—enabling consistent, application-specific reuse and boosting the value of mechanical recycling. pubs.aip.org/sor/jor/articl…

Suspensions of cubic particles show stronger hydrodynamic interactions, higher viscosity, and larger normal stresses than spheres—highlighting shape-driven rheology beyond classic models. pubs.aip.org/sor/jor/articl…

Testing gels under large oscillatory strains shows Winter–Chambon criteria still hold—critical relaxation is preserved, though gel strength varies—proving their robustness beyond linear rheology. pubs.aip.org/sor/jor/articl…

Clay and silica soft glasses show stress relaxation followed by unexpected stress buildup under fixed strain—captured by a time-dependent Maxwell model linking it to aging-driven modulus growth. pubs.aip.org/sor/jor/articl…

“Persistent worm” simulations unify micelle scission, fusion, and semiflexibility—validating mean-field scaling, capturing rings, and distinguishing Rouse vs. Zimm dynamics in dilute and semidilute micellar solutions. pubs.aip.org/sor/jor/articl…

A coupled Rolie-Double-Poly and polySTRAND framework predicts where flow-induced crystallization occurs in polydisperse polymer melts—capturing localized nucleation near contraction walls seen experimentally. pubs.aip.org/sor/jor/articl…

An analytical framework for superimposed flows unifies steady and oscillatory shear—introducing a “superposition number” and revealing microstructural transitions and interference patterns in complex fluids. pubs.aip.org/sor/jor/articl…

A simple “gap flow test” enables on-site estimation of shear-thinning viscosity in fluid foods—linking spreading dynamics to power-law parameters for quick, low-cost rheological evaluation. pubs.aip.org/sor/jor/articl…

Machine learning trained on tube-model rheology data enables accurate inference of polymer molecular weight distributions—recovering MWDs from frequency sweeps and matching chromatography benchmarks. pubs.aip.org/sor/jor/articl…

High-temperature rheology of slag–solid suspensions reveals that both particle size and elongation govern flow: elongated melilite particles align under shear, causing stronger shear thinning and higher viscosity. pubs.aip.org/sor/jor/articl…

Capillary thinning experiments on silicone oils reveal that reservoir dynamics affect extensional viscosity: higher initial aspect ratios speed thinning and lower apparent viscosities, redefining experimental best practices. pubs.aip.org/sor/jor/articl…

Granular fluids exhibit gas-like and liquid-like regimes with distinct rheology—this study shows their transition arises from competing timescales of microscopic processes, challenging classical phase notions. pubs.aip.org/sor/jor/articl…

Bayesian optimization offers a transparent, uncertainty-aware route to infer viscoelastic parameters—mapping the error landscape to find optimal fits and reveal parameter sensitivities despite higher computational cost. pubs.aip.org/sor/jor/articl…

A continuum model captures delayed yielding and degelation in colloidal gels—linking bond dynamics, elastic strain, and sol–gel transitions to reproduce creep, hysteresis, and shear banding behaviors. pubs.aip.org/sor/jor/articl…