Loscar Ernesto S, Borzi R A, Albano Ezequiel V
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, (INIFTA), CONICET, UNLP, Sucursal 4, Casilla de Correo 16, (1900) La Plata, Argentina.
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Nov;74(5 Pt 1):051601. doi: 10.1103/PhysRevE.74.051601. Epub 2006 Nov 7.
By means of Monte Carlo simulations we study jamming and percolation processes upon the random sequential adsorption of dimers on binary alloys with different degrees of structural order. The substrates are equimolar mixtures that we simulate using an Ising model with conserved order parameter. After an annealing at temperature T we quench the alloys to freeze the state of order of the surface at this temperature. The deposition is then performed neglecting thermal effects like surface desorption or diffusion. In this way, the annealing temperature is a continuous parameter that characterizes the adsorbing surfaces, shaping the deposition process. As the alloys undergo an order-disorder phase transition at the Onsager critical temperature (Tc), the jamming and percolating properties of the set of deposited dimers are subjected to nontrivial changes, which we summarize in a density-temperature phase diagram. We find that for T<T*=1.22Tc the occurrence of jamming prevents the onset of percolating clusters, while percolation is possible for T>T*. Particular attention is focused close to T*, where the interplay between jamming and percolation restricts fluctuations, forcing exponents seemingly different from the standard percolation universality class. By analogy with a thermal transition, we study the onset of percolation using the temperature T as a control parameter. We propose thermal scaling Ansätze to analyze the behavior of the percolation threshold and its thermally induced fluctuations. Also, the fractal dimension of the percolating cluster is determined. Based on these measurements and the excellent data collapse, we conclude that the universality class of standard percolation is preserved for all temperatures.
通过蒙特卡罗模拟,我们研究了不同结构有序度的二元合金上二聚体随机顺序吸附时的堵塞和渗流过程。基底是等摩尔混合物,我们使用具有守恒序参量的伊辛模型对其进行模拟。在温度T下退火后,我们将合金淬火以冻结该温度下表面的有序状态。然后进行沉积,忽略诸如表面解吸或扩散等热效应。通过这种方式,退火温度是一个连续参数,它表征了吸附表面,塑造了沉积过程。由于合金在昂萨格临界温度(Tc)处经历有序-无序相变,沉积二聚体集合的堵塞和渗流性质会发生显著变化,我们将这些变化总结在一个密度-温度相图中。我们发现,对于T < T* = 1.22Tc,堵塞的发生会阻止渗流簇的出现,而对于T > T*,渗流是可能的。特别关注接近T*的情况,此时堵塞和渗流之间的相互作用限制了涨落,迫使指数似乎不同于标准渗流普适类。类似于热转变,我们使用温度T作为控制参数来研究渗流的开始。我们提出热标度假设来分析渗流阈值的行为及其热诱导涨落。此外,还确定了渗流簇的分形维数。基于这些测量结果和出色的数据塌缩,我们得出结论,标准渗流的普适类在所有温度下都得以保留。