Munaò Gianmarco, Prestipino Santi, Costa Dino
Dipartimento di Scienze Matematiche e Informatiche, Scienze Fisiche e Scienze della Terra, Università degli Studi di Messina, Viale F. Stagno d'Alcontres 31, 98166 Messina, Italy.
Phys Chem Chem Phys. 2021 Oct 13;23(39):22661-22672. doi: 10.1039/d1cp03604a.
We use Monte Carlo simulation and the Reference Interaction Site Model (RISM) theory of molecular fluids to investigate a simple model of colloidal mixture consisting of dimers, made up of two tangent hard monomers of different size, and hard spheres. In addition to steric repulsion, the two species interact a square-well attraction only between small monomers and spheres. Recently, we have characterized the low-temperature regime of this mixture by Monte Carlo, reporting on the spontaneous formation of a wide spectrum of supramolecular aggregates [Prestipino , , 2019, , 9272]. Here we focus on a regime of temperatures where, on cooling, the appearance of local inhomogeneties first, and the early stages of aggregation thereafter, are observed. In particular, we find signatures of aggregation in the onset of a low-wavevector peak in the structure factors of the mixture, as computed by both theory and simulation. Then, we link the structural information to the microscopic arrangement through a detailed cluster analysis of Monte Carlo configurations. In this regard, we devise a novel method to compute the maximum distance for which two spheres can be regarded as bonded together, a crucial issue in the proper identification of fluid aggregates. The RISM theory provides relatively accurate structural and thermodynamic predictions in comparison with Monte Carlo, but with slightly degrading performances as the fluid progresses inside the locally inhomogeneous phase. Our study certifies the efficacy of the RISM approach as a useful complement to numerical simulation for a reasoned analysis of aggregation properties in colloidal mixtures.
我们使用蒙特卡罗模拟和分子流体的参考相互作用位点模型(RISM)理论,来研究一种简单的胶体混合物模型,该混合物由二聚体(由两个不同大小的相切硬单体组成)和硬球组成。除了空间排斥外,这两种物质仅在小单体和球体之间存在方阱吸引力。最近,我们通过蒙特卡罗方法对该混合物的低温状态进行了表征,报道了一系列超分子聚集体的自发形成[普雷斯蒂皮诺,,2019,,9272]。在这里,我们关注一个温度范围,在冷却过程中,首先观察到局部不均匀性的出现,随后是聚集的早期阶段。特别是,我们在混合物结构因子的低波矢峰的起始处发现了聚集的特征,这是通过理论和模拟计算得出的。然后,我们通过对蒙特卡罗构型的详细聚类分析,将结构信息与微观排列联系起来。在这方面,我们设计了一种新颖的方法来计算两个球体可被视为结合在一起的最大距离,这是正确识别流体聚集体的关键问题。与蒙特卡罗方法相比,RISM理论提供了相对准确的结构和热力学预测,但随着流体在局部不均匀相内的进展,其性能会略有下降。我们的研究证明了RISM方法作为数值模拟的有用补充,用于合理分析胶体混合物聚集性质的有效性。