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Visualizing slow internal relaxations in a two-dimensional glassy system

Abstract

Unlike a crystal, a glassy solid state displays slow internal relaxation processes besides vibrational modes even when structural (α) relaxation is frozen. The precise nature of such residual local relaxation modes remains poorly understood due to the lack of real-space information. Here we directly visualize the internal relaxations in a glass via a long-time observation of the dynamics of a mechanically driven two-dimensional granular system that shows a pinning-induced transition. This allows directly visualizing the internal relaxations in a glass. On approaching the glass transition, vanishing cage-breaking motion is observed, accompanied by the emergence of a restricted dynamic mode characterizing slow β relaxation. The emergence of bond rigidity freezes the structure relaxation and leads to slow β motion. Our findings indicate that unlike crystallization, where all the bonds are constrained, vitrification in a disordered system freezes α relaxation and accompanies elastic percolation, but the remaining non-constrained bonds provide room for slow β relaxation.

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Fig. 1: Experimental details and reduction in internal structure relaxation across a pinning-induced glass transition.
Fig. 2: Pinning-fraction dependence of the internal relaxation dynamics profiles.
Fig. 3: Four-particle tetragonal representation of the relaxation mode.
Fig. 4: Double signature of glass transition seen in internal relaxations.

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The data that support the findings of this study are available from the corresponding authors upon reasonable request.

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The codes used in this study are available from the corresponding authors upon reasonable request.

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Acknowledgements

P.T. acknowledges the National Natural Science Foundation of China (nos. 12174071, 12105050, 12035004, 11734014 and 11725521), the Innovation Program of Shanghai Municipal Education Commission (no. 2023ZKZD06) and the Science and Technology Commission of Shanghai Municipality (no. 20JC1414700). Y.C. acknowledges the China Postdoc Science Foundation (nos. BX2021081 and 2021M690707). H. Tanaka acknowledges the Grants-in-Aid for Specially Promoted Research (JP20H05619) from the Japan Society for the Promotion of Science (JSPS).

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P.T. and H. Tanaka conceived and supervised the research, performed the data analysis and modelling, and wrote the paper. Y.C. performed the experiments, data analysis and modelling. Z.Y. performed the experiments and data analysis. K.W. and J.H. performed the data analysis. H. Tong and Y.J. performed the data analysis and modelling, and K.C. performed the colloidal experiments.

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Correspondence to Hajime Tanaka or Peng Tan.

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Nature Physics thanks Jana Shanelova and Shuai Wei for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 Our 2D binary magnetic disk system under mechanical perturbation.

a, A typical raw image of our sample. b, MSD of our pinning samples over τs at a high perturbation strength. Within τs, we can see a significant rise from the MSD plateau, which means that the system behaves as a viscous fluid. In this case, the long-time MSD becomes superdiffusive under our mechanical perturbation. With increasing the pinning fraction c, we can see that the system’s response gradually becomes solid-like. Thus, the mechanical perturbation strength should be small enough to guarantee a solid-like response within τs. c-e, Relaxation dynamics illustrated by the particle-level Van Hove correlation function at Δt = 20τs(c), Δt = 100τs (d), and Δt = 500τs (e). The self part of the particle-level time-dependent Van Hove correlation function, Gs,i(r, t), is calculated for a group of particles i that have a narrow range of 〈Δr2(t)〉 (Δt = 500τs). The long-time motion of the fastest particles forms a second peak or a shoulder at a characteristic moving distance, whereas the motion of the slowest particles exhibits a Gaussian distribution.

Source data

Extended Data Fig. 2 Wall-induced effects on the relaxation dynamics in our systems.

a, The particle number N counted with respect to the distance RC/a from the centre. The smooth circular wall induces the layering of particles up to a distance around 2a(a grey area) from the wall. b, c, Particles’ mean-square displacements (MSD), 〈Δr2(t)〉/a2, with respect to RC/a at Δt = 10τs (b) and Δt = 200τs (c). The wall slows down the particle motion near the wall (a grey area). d, e, 〈Δr2(t)〉/a2 of bulk particles (d) and boundary particles (e). Although particles near the wall have slower dynamics than the bulk particles, we can observe the same threshold value of c*. It indicates that the wall does not change the glass transition point but makes the system less fragile, that is, stronger.

Source data

Extended Data Fig. 3 Characterization of internal-relaxation profiles.

a-d, The unified ls,l − ΔR relation for T1 events. a, c ~ 0.012, b, c ~ 0.024, c, c ~ 0.036, d, c ~ 0.048. Here, ΔR is the total moving distance of the four particles in each tetragon. We can see a similar curve as in Fig. 2a-d. Note that each tetragon has four values of Nb(i). e-g, Cluster analysis of large-T1 and small-T1 events for all samples as a function of 〈Δr2(t = 200τs)〉/a2, where c* is located around 〈Δr2(t)〉/a2 ~ 10−3. e, The number of T1-tetragon, NT1, in each sample. f, The average particle number, 〈NP〉, contained in the T1-cluster. g, The coordination number, \(\overline{n_c}\), of T1-tetragon in the T1 cluster. Large-T1 cluster is string-like cooperative excitation at \(c\le {c}^{* }(\langle {N}_{P}\rangle \sim 10,\overline{{n}_{c}} \sim 2)\), whereas small-T1 cluster is sparse, localized excitation at all \(c(\langle {N}_{P}\rangle \sim 4,\overline{{n}_{c}} \sim 0)\). h, i, The number of T1-tetragon, \(\overline{N}\), excited with respect to t at c < c* (h) and c > c* (i). Large-T1 and small-T1 events are excited at different time scales, suggesting that small-T1 event contributes to slow-β relaxation.

Source data

Extended Data Fig. 4 Spatio-temporal illustration of internal-relaxation dynamics with increasing the pinning fraction.

Relaxation dynamics is illustrated by ΔR(i) (indicated by the arrow length and direction), lsl (indicated by black and grey tetragons representing large-ratio and small-ratio T1 events, respectively), and Nb(i) (indicated by the particle and displacement colours). a, Sequential accumulation of large-ratio T1 events forms a compact cluster with Nb(i)≥1 for a typical sample of α-type relaxation (c ~ 1.2%). Note that the motion that forms the cluster’s core is also string-like. b, A collective excitation of spatially extended large-ratio T1 events forms a string-like cage-breaking excitation for a typical sample at c ~ 2.4%. c and d correspond to the cases of a glass state (c ~ 3.6% and c ~ 4.8% respectively), where large-ratio T1 events vanishes, but localized small-ratio T1 events can persist. The displacement fields in c and d are magnified 4 times. e, Sequential accumulation of large-T1 events that develop into a string-like larger cluster at a pinning fraction similar to a.

Source data

Extended Data Fig. 5 Spatio-temporal illustration of internal-relaxation dynamics in a supercooled colloidal liquid and a granular, crystalline system with dislocations.

We use bidisperse Nipam colloidal particles to form a 2D glassy system. Relaxation dynamics is illustrated by Δr(i) (indicated by the arrow length and direction), lsl (indicated by black and grey tetragons representing large-ratio and small-ratio T1 events, respectively), and Nb(i) (indicated by the particle and the displacement colours). a-c, Reversible bond-breaking process occurring at the fast-β regime (t < τ0). d-f, Formation of string-like excitation after the fast-β regime. See the red and orange strings of Δr in f. g-i, Irreversible cage-breaking events serving as precursors of relaxation. See the recovery of Δr in g for the orange string in f. j, k, Spatial illustration of structure relaxations in a crystalline system with dislocations. We use large disk particles (10 mm diameter) in our magnetic glass system to form the 2D hexagonal crystalline structure with dislocations. Dislocation dynamics is responsible for large-ratio T1 events. We rarely find small-ratio T1 events, indicating the absence of the slow-β mode.

Source data

Extended Data Fig. 6 Comparison of the relaxation dynamics for two glass systems and crystals, using the four-particle tetragon model.

a, A colloidal supercooled colloidal liquid system with short-range interactions that represents fast-β and α modes. We use bidisperse Nipam colloidal particles to form 2D glassy system. Note that the MSD plateau value is around 2.0 × 10−2. Small-ratio T1 events occur within τ0, whereas large-ratio T1 events typically occur around a time of 30 τ0 (left panel). RM is absent for the relaxation dynamics examined at Δt = 0.2τ0 (middle panel) and Δt = 100τ0 (right panel). b, The deeply supercooled granular liquid sample with long-range soft interaction that represents slow-β and α modes (c ~ 1.2%). Note that the MSD plateau value is around 2.0 × 10−4. Small-ratio T1 events typically occur around a time of 2.0 × 104τ0, whereas large-ratio T1 events typically occur around a time of 1.0 × 105τ0 (left panel). We find a weak signature of RM at the time scale of slow-β relaxation (middle panel), whereas RM is absent at the timescale of early-α relaxation (right panel). c, The granular glass sample with long-range soft interaction that represents slow-β mode (c = 4.8%). Note that the MSD plateau value is around 4.0 × 10−4. Small-ratio T1 events typically occur around a time of 2.0 × 105τ0, whereas large-ratio T1 events are absent (left panel). We find a strong signature of RM at the time scale shorter than (middle panel) and comparable (right panel) to the slow-β relaxation time. d, The crystalline system with dislocations. We use large disk particles (10 mm diameter) used in our glass system to form a 2D hexagonal crystalline structure with dislocations. Both RM and small-T1 events are absent.

Source data

Extended Data Fig. 7 Spontaneous fluctuations of ‘rigid’ bonds in glass samples.

a, c ~ 3.6%, b, c ~ 4.8%. For a specific bond, we can define its rigidity through the time percentage that its dynamics belongs to the RM mode and not to the FM mode. The bonds with more than 7.5%, 10%, and 15% of their time in a ‘rigid’ state are shown. We can see spontaneous fluctuations of ‘rigid’ bonds that present RM when approaching a glass state.

Source data

Extended Data Fig. 8 Probability distribution of tan−1Lm,nLh,k) for the two glass and crystalline systems with dislocations.

a, A strong signature of FM is observed, whereas RM is absent in the supercooled colloidal liquid with short-range interactions that represents fast-β (left panel) and α (right panel) modes. b, The deeply supercooled granular liquid sample with long-range soft interaction that represents slow-β and α modes (c ~ 1.2%). We find a weak signature of RM for slow-β relaxation (middle panel), whereas RM is absent for early-α relaxation (right panel). c, The granular glass sample with long-range soft interaction that represents slow-β mode (c ~ 1.2%). We find a strong signature of RM when early-α relaxation is absent. d, The granular, crystalline system with dislocations. Both RM and small-T1 events are absent. We find a strong signature of \(\Delta {L}_{m,n}/\Delta {L}_{h,k} \sim \sqrt{3}\), indicating the elastic nature. The results shown here correspond to those in Extended Data Fig. 6.

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Time-sequential configurations.

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Time-sequential configurations.

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Source data for Fig.4.

Source Data Extended Data Fig. 1

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Time-sequential configurations.

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Time-sequential configurations.

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Time-sequential configurations.

Source Data Extended Data Fig. 7

Time-sequential configurations.

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Source data for Extended Data Fig. 8.

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Chen, Y., Ye, Z., Wang, K. et al. Visualizing slow internal relaxations in a two-dimensional glassy system. Nat. Phys. 19, 969–977 (2023). https://doi.org/10.1038/s41567-023-02016-4

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