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Microscopic structural origin of slow dynamics in glass-forming liquids

Abstract

Supercooled liquids display sluggish dynamics, often attributed to their structural characteristics, yet the underlying mechanism remains elusive. Here we conduct numerical investigations into the structure–dynamics relationship in model glass-forming liquids, with a specific focus on an elementary particle rearrangement mode known as the ‘T1 process’. We discover that the ability of a T1 process to preserve glassy structural order before and after is pivotal towards determining a liquid’s fragility—whether it exhibits super-Arrhenius-like or Arrhenius-like behaviour. If a T1 process disrupts local structural order, it must occur independently without cooperativity, resulting in Arrhenius-like behaviour. By contrast, if it can maintain order, it sequentially propagates from disordered peripheries to the middle of high-structural-order regions, leading to cooperativity and super-Arrhenius-like behaviour. Our study establishes a microscopic link between liquid-structure ordering, dynamic cooperativity and super-Arrhenius-like dynamics, extending the understanding of the structure–dynamics relationships in supercooled liquids.

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Fig. 1: Fundamental properties of the new 2D model systems.
Fig. 2: Structural ordering and dynamic heterogeneity of the 2D models.
Fig. 3: Characterization of defects in liquids I and II.
Fig. 4: T1-type particle motion and underlying structural order in three 2D liquids.
Fig. 5: Dynamics and T1 processes of PHD at T = 0.00225.

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Data availability

All data that support the findings of this study are available in the Article and the Supplementary Information.

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All codes used for simulation and analysis are available from the corresponding author upon request.

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Acknowledgements

This work was partially supported by Specially Promoted Research (JP25000002 and JP20H05619) and Scientific Research (A) (JP18H03675) from the Japan Society of the Promotion of Science (JSPS).

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H.T. conceived and supervised the project; S.I. and Y.-C.H. performed numerical simulations. S.I., Y.-C.H. and H.T. discussed the results and wrote the manuscript.

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Correspondence to Hajime Tanaka.

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Nature Materials thanks Yujie Wang, Lothar Wondraczek and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Extended data

Extended Data Fig. 1 An example of structural characterisation of the 2D nonadditive systems.

A zero-temperature diffraction pattern. The scattering pattern for (η, cB) = (0.65, 0.3) and Q = 10−5.5 reveals a distinct 12-fold symmetry pattern characteristic of a dodecagonal quasi-crystal.

Extended Data Fig. 2 Temperature dependence of the self-intermediate scattering functions for the three liquids.

a, Liquid I. b, Liquid II. c, PHD. See Methods for details on calculating the self-intermediate scattering function Fs(q, t).

Extended Data Fig. 3 Comparison of structure and dynamics obtained from the isoconfigurational ensemble for the ‘fragile’ PHD (a-d, T=0.0024) and the ‘strong’ liquid II (e-h, T=0.018).

a, The spatial distribution of the local structural order parameter \({\Psi }_{6}^{c}\) coarse-grained over its spatial correlation length ξ6 (see the colour bar) (see refs. 15,16 for the meaning of the coarse-graining). b-d, Cage-relative atomic displacements (see the colour bar) during 1τα, 5τα, and 10τα averaged from 300 independent runs starting from the same initial structure as in a.e, The spatial distribution of the local structural order parameter Ψ8 (see the colour bar). f-h, Cage-relative atomic displacements (see the colour bar) during 1τα, 5τα, and 10τα averaged from 300 independent runs starting from the same initial structure as in e. Common features in these two systems include the correspondence between dynamical heterogeneity and the structural order parameter field, as well as their homogenisation as the ordered region gradually becomes disordered over time. After a long time, every atom will have completed structural relaxation with large displacements. We can see that dynamic heterogeneity is much longer-lived for liquid II than for PHD.

Extended Data Fig. 4 The spatial decay of the correlation of structural order parameters.

a-c, The temperature dependences of g12(r)/g(r), g8(r)/g(r), and g6(r)/g(r) for liquid I, liquid II, and PHD, respectively. The dashed lines represent fits to the OZ functions, from which we determine the structural correlation length ξ12, ξ8, and ξ6. We can see the increase of the structural correlation length upon cooling for the three liquids. The correlation lengths estimated in this manner are presented in Fig. 2f-h.

Extended Data Fig. 5 Temperature dependence of dynamic heterogeneities.

a-c, The temperature dependences of χ4 (t) of liquid I, liquid II, and PHD, respectively. In all systems, χ4 (t) exhibits a rapid increase with decreasing temperature. This behaviour is noticeable even for liquid II, which is a strong liquid. It is uncommon to observe such pronounced dynamic heterogeneity in strong liquids. Notably, the peak magnitudes of χ4 (t) of liquid II are smaller than those for liquid I and PHD. This trend aligns with the steep decrease in the stretching exponent, β, for liquid II upon cooling (see Fig. 1f in the main text). The underlying reason for this seemingly counterintuitive result is explained in the main text. d-f, The temperature changes of the q-dependence of S4(τ4) for liquid I, liquid II, and PHD, respectively. The solid curves represent fits of the Ornstein-Zernike correlation function to the data, allowing us to determine ξdyn.

Extended Data Fig. 6 The non-Gaussian nature of particle diffusion.

a-c, The temperature dependences of the non-Gaussian parameter α2 (t) for liquid I, liquid II, and PHD, respectively. The peak of α2 (t) shows a sharp increase with decreasing temperature in all three systems, indicating the enhancement of dynamic heterogeneity.

Extended Data Fig. 7 Atomic-scale mechanism of structural relaxation for a locally favoured structure in fragile liquids (liquid I and PHD).

a-c, Liquid I. a, Depiction of an LFS motif comprised of 8 red particles exhibiting a pentagonal shape (marked by orange lines). Each particle is labelled with numbers 1-8 to monitor their movements. b, Illustration of the LFS transformation into an intermediate disordered state by two T1 processes (yellow triangles). Each T1 process involves four particles breaking old bonds and creating new ones. c, Formation of a new LFS (orange pentagon) through two successive T1 processes (yellow triangles). The centre of the new LFS retains 6 old neighbours and gains a new neighbour, resulting in the transformation from the initial loose pentagon-shaped arrangement to a new, tight-packed LFS. Therefore, the old LFS shown in panel a undergoes a rotation to transform into the new LFS through this particle rearrangement process. B particles are shown in blue and large, while A particles are depicted in green for better visualisation. d-f, PHD. d, Depiction of an LFS motif with hexatic ordering. Each particle is labelled with numbers 1–9 to track their movements. e, Occurrence of a T1 process among atoms 1–2–3–7 from panel d, creating an intermediate disordered state. f, Another T1 process among atoms 1–4–8–9 from panel e. The central atom (red) escapes from its initial cage formed by atoms 2–3–4–5–6–7 (see panel d) while maintaining the order of 4–5–7–3–8–9 during sequential T1 events. In this polydisperse system, atoms are represented as equal-sized for simplicity in visualisation.

Extended Data Fig. 8 Phason-flip-like particle motion observed in liquid I.

a, Visualization of particle motion in liquid I at T=0.041 over a time interval Δt = 1.2. Filled red and black circles represent A and B particles at t=0, whereas open red and black circles represent their positions at t=1.2. The particle motion of 6 particles is depicted by a red-shaded combined square and triangle at t=0 and a white-shaded one at t=1.2. This particle motion is analogous to the phason-flip motion observed in a 12-fold quasi-crystal. b, Decomposition of the phason-flip-like motion (top row) into two T1 processes (two bottom rows). Three particles mainly move in the process, as indicated by arrows, leading to the occurrence of two T1 processes. In the right images, newly formed and broken bonds are represented by solid and broken lines, respectively.

Extended Data Fig. 9 Comparison of the self-intermediate scattering functions Fs(q, t) between absolute and cage-relative particle motion at T=0.00225 for PHD.

The time when Fs(q, t) = 1/e is defined as \({\tau }_{ \alpha }^{{\rm{abs}}}(\approx 440)\) and τα (≈ 104) for absolute and cage-relative motion, respectively. Therefore, at this temperature, \({\tau }_{ \alpha }\cong 23{\tau }_{\rm \alpha }^{{\rm{abs}}}\). The former is influenced by Mermin-Wagner-type fluctuations, whereas the latter is free from such effects.

Supplementary information

Supplementary Information

Supplementary Notes 1 and 2, Figs. 1 and 2 and references.

Reporting Summary

Supplementary Video 1

Dynamics and T1 processes in 2D PHD supercooled liquid.

Supplementary Video 2

Dynamics and T1 processes in 3D PHS supercooled liquid.

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Ishino, S., Hu, YC. & Tanaka, H. Microscopic structural origin of slow dynamics in glass-forming liquids. Nat. Mater. 24, 268–277 (2025). https://doi.org/10.1038/s41563-024-02068-8

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