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Surface tension of supercooled water nanodroplets from computer simulations

机译:计算机模拟中过冷水纳米轧辊的表面张力

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We estimate the liquid-vapor surface tension from simulations of TIP4P/2005 water nanodroplets of size N = 100 to 2880 molecules over a temperature T range of 180 K-300 K. We compute the planar surface tension (p), the curvature-dependent surface tension (s), and the Tolman length , via two approaches, one based on the pressure tensor (the mechanical route) and the other on the Laplace pressure (the thermodynamic route). We find that these two routes give different results for (p), (s), and although in all cases, we find that 0 and is independent of T. Nonetheless, the T dependence of (p) is consistent between the two routes and with that of Vega and de Miguel [J. Chem. Phys. 126, 154707 (2007)] down to the crossing of the Widom line at 230 K for ambient pressure. Below 230 K, (p) rises more rapidly on cooling than predicted from behavior for T 300 K. We show that the increase in (p) at low T is correlated with the emergence of a well-structured random tetrahedral network in our nanodroplet cores and thus that the surface tension can be used as a probe to detect behavior associated with the proposed liquid-liquid phase transition in supercooled water.
机译:我们在180k-300k的温度T范围内估计尖端4p / 2005水纳米纳米液体的模拟中的液态蒸汽表面张力。我们计算平面表面张力(p),依赖于曲率通过两种方法,基于压力张量(机械途径)和拉拉普拉斯压力(热力学途径)的表面张力。我们发现这两条路线给出了(P),(S),虽然在所有情况下,但我们发现0并且与T.仍然独立于T.(P)之间的T依赖性在两条路线之间是一致的vega和de miguel的那个[J.化学。物理。 126,154707(2007)]下降到金箔线的交叉,在230 k下进行环境压力。低于230 k,(p)在冷却时比从T 300 K的行为预测更快地升高。我们表明低T处的(P)的增加与我们纳米多波特核中结构良好的随机四面体网络的出现相关联因此,表面张力可以用作检测与过冷水中所提出的液体相转变相关的行为的探针。

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