ArticleScientific reports2026
Mechanical annealing in a soft granular layer under cyclic shear at varying frequencies.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
In the present work, we present a two-dimensional soft sphere granular system, with inclination, that models the transition from an amorphous solid to the crystalline phase by shear cycles induced by cyclic deformations of the boundary. To simulate an effective temperature, the system is subjected to vibration. Under these conditions, the system exhibits a controlled transition to hexagonal order, where the crystallization rate and extent depend critically on the shear frequency. The study focuses on the analysis of the effect of the shear frequency in phase change, and introduces a dimensionless shear frequency [Formula: see text], where [Formula: see text] is the intrinsic relaxation timescale of the particles, to identify the regimes in which mechanical annealing is effective. The soft granular particles used are polyacrylamide hydrogel spheres, with an estimated Young’s modulus of the order of [Formula: see text] Pa, consistent with previous measurements for single-network polyacrylamide gels. Hexagonal order is measured in terms of the sixth-bond orientational order parameter [Formula: see text]. By following the temporal evolution of this parameter, we find that low shear frequencies on the order of [Formula: see text] Hz (i.e., [Formula: see text]) favor the growth of hexagonal grains, while higher frequencies tend to reduce hexagonal order, leading to an unstable structure. Additionally, we characterize particle dynamics through autocorrelation measurements in the time series of [Formula: see text] using Fourier spectral analysis (FA). For all cases with non-zero shear frequency, the power spectra follow a power law, [Formula: see text] with [Formula: see text], indicating non-stationarity. In contrast, for the static (0 Hz in shear frequency) case, the power spectrum is flat ([Formula: see text]), suggesting stationary white noise behavior in the time series.
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