Glass transition

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Subjects: Condensed matter

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The problem

Some liquids become rigid as they cool, without their molecules lining up into an orderly crystal. The molecules become too slow to rearrange on the timescale of an experiment. What makes that motion slow so dramatically?[1]

Scope

The physical origin of structural relaxation slowdown in supercooled liquids and its relationship to a possible ideal-glass thermodynamic transition.

What remains open

The slowdown is observed, but its microscopic cause remains disputed. We also do not know whether it points toward a deeper transition that a liquid would undergo if it could stay in equilibrium long enough.[1]

Why it matters

A glass holds its shape without a crystal’s regular arrangement. Explaining that behavior would tell us how disordered molecules can collectively produce rigidity, connecting familiar materials with the physics of liquids and solids.[1]

Definitions

3 terms
supercooled

A liquid cooled below its usual freezing temperature without becoming a crystal. It can keep rearranging until its motion becomes too slow for the observation time.[1]

structural relaxation

Molecular rearrangement through which a liquid loses memory of an earlier configuration. Its characteristic time becomes much longer as a glass-forming liquid cools.[1]

equilibrium

A state in which the material has had enough time to adjust to the imposed conditions. A cooled liquid can fall out of equilibrium when its rearrangement becomes slower than the experiment.[1]

Sources

  1. Physics and chemistry perspectives on three unsolved problems in glass science Jeppe C. Dyre and Mark D. Ediger · 2026-05-07
    Notes on Physics and chemistry perspectives on three unsolved problems in glass science

    Selected author-university abstract and same-work author PDF distinguish time-dependent observed arrest from a possible ideal equilibrium transition; selected response and outlook discuss universality and chemical specificity. First online 7 May is distinct from the June issue.

  2. Roadmap on machine learning glassy dynamics Gerhard Jung and colleagues · 2025-01-06
    Notes on Roadmap on machine learning glassy dynamics

    Indexed publisher abstract and key points identify structure–dynamics, low-temperature sampling, transferability and interpretation limits. Direct body access failed; 6 January online is distinct from the February issue.

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