H.H. Wills Physics Laboratory, Tyndall Avenue, Bristol, BS8 1TL, UK.
Centre for Nanoscience and Quantum Information, Tyndall Avenue, Bristol, BS8 1FD, UK.
Nat Commun. 2023 May 5;14(1):2621. doi: 10.1038/s41467-023-37793-2.
Upon approaching the glass transition, the relaxation of supercooled liquids is controlled by activated processes, which become dominant at temperatures below the so-called dynamical crossover predicted by Mode Coupling theory (MCT). Two of the main frameworks rationalising this behaviour are dynamic facilitation theory (DF) and the thermodynamic scenario which give equally good descriptions of the available data. Only particle-resolved data from liquids supercooled below the MCT crossover can reveal the microscopic mechanism of relaxation. By employing state-of-the-art GPU simulations and nano-particle resolved colloidal experiments, we identify the elementary units of relaxation in deeply supercooled liquids. Focusing on the excitations of DF and cooperatively rearranging regions (CRRs) implied by the thermodynamic scenario, we find that several predictions of both hold well below the MCT crossover: for the elementary excitations, their density follows a Boltzmann law, and their timescales converge at low temperatures. For CRRs, the decrease in bulk configurational entropy is accompanied by the increase of their fractal dimension. While the timescale of excitations remains microscopic, that of CRRs tracks a timescale associated with dynamic heterogeneity, [Formula: see text]. This timescale separation of excitations and CRRs opens the possibility of accumulation of excitations giving rise to cooperative behaviour leading to CRRs.
在接近玻璃化转变时,过冷液体的弛豫受到激活过程的控制,这些过程在所谓的模式耦合理论(MCT)预测的动力学交叉温度以下变得占主导地位。解释这种行为的两个主要框架是动态促进理论(DF)和热力学情景,它们对可用数据的描述同样准确。只有在 MCT 交叉点以下过冷的液体的粒子分辨数据才能揭示弛豫的微观机制。通过采用最先进的 GPU 模拟和纳米粒子分辨胶体实验,我们确定了在深度过冷液体中弛豫的基本单元。我们专注于 DF 和热力学情景所暗示的协同重排区域(CRR)的激发,发现这两种情况都有很好的预测:对于基本激发,它们的密度遵循玻尔兹曼定律,它们的时间尺度在低温下收敛。对于 CRR,体构型熵的减少伴随着其分形维数的增加。虽然激发的时间尺度仍然是微观的,但 CRR 的时间尺度与动态异质性相关联,[公式:见正文]。这种激发和 CRR 的时间尺度分离为激发的积累导致协同行为提供了可能性。