Faculty of Physics and Center for Computational Materials Science, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
J Chem Phys. 2016 Dec 7;145(21):211918. doi: 10.1063/1.4964327.
Water can exist in a metastable liquid state under tension for long times before the system relaxes into the vapor via cavitation, i.e., bubble nucleation. Microscopic information on the cavitation process can be extracted from experimental data by the use of the nucleation theorem, which relates measured cavitation rates to the size of the critical bubble. To apply the nucleation theorem to experiments performed along an isochoric path, for instance, in cavitation experiments in mineral inclusions, knowledge of the bubble entropy is required. Using computer simulations, we compute the entropy of bubbles in water as a function of their volume over a wide range of tensions from free energy calculations. We find that the bubble entropy is an important contribution to the free energy that significantly lowers the barrier to bubble nucleation, thereby facilitating cavitation. Furthermore, the bubble entropy per surface area depends on the curvature of the liquid-vapor interface, decreasing approximately linearly with its mean curvature over the studied range of bubble volumes. At room temperature, the entropy of a flat liquid-vapor interface at ambient pressure is very similar to that of critical bubbles over a wide range of tensions, which justifies the use of the former as an approximation when interpreting data from experiments. Based on our simulation results, we obtain an estimate for the volume of the critical bubble from experimentally measured cavitation rates.
水在张力下可以长时间处于亚稳液态,然后通过空化(即气泡成核)松弛为蒸汽。通过成核定理,可以从实验数据中提取出有关空化过程的微观信息,该定理将测量的空化速率与临界气泡的大小联系起来。例如,为了将成核定理应用于等容路径(例如在矿物包裹体中的空化实验中)上进行的实验,需要了解气泡的熵。我们使用计算机模拟,根据从自由能计算中得出的广泛张力范围内的体积,计算了水中气泡的熵。我们发现,气泡熵是自由能的重要贡献,它大大降低了气泡成核的势垒,从而促进了空化。此外,气泡的单位表面积熵取决于液-气界面的曲率,在研究的气泡体积范围内,它近似线性地随其平均曲率减小。在室温下,环境压力下的平液面的熵与广泛张力范围内的临界气泡的熵非常相似,这证明了在解释实验数据时可以将前者用作近似值。根据我们的模拟结果,我们从实验测量的空化速率中得到了临界气泡体积的估计值。