Institute of Theoretical Physics, Department of Statistical Physics, Jagiellonian University, Łojasiewicza 11, Kraków 30-348, Poland.
J. Haber Institute of Catalysis and Surface Chemistry,Polish Academy of Sciences, Niezapominajek 8, Kraków 30-239, Poland.
Adv Colloid Interface Sci. 2022 Aug;306:102692. doi: 10.1016/j.cis.2022.102692. Epub 2022 May 11.
Random Sequential Adsorption (RSA) is one of the most efficient theoretical models used to investigate adsorption of macromolecules and particles, with a long-standing tradition in the field of colloid and interface science. In the first part of this paper, we demonstrate how the RSA model can be applied to interpret the experimental data and extract information about the density of the adsorption monolayer, the kinetics of its growth, and microstructural properties such as pair-correlation function and monolayer roughness. We briefly summarized the most important generalizations of the RSA model for monolayers and reviewed its extensions considering, e.g., various particle shapes, the introduction of electrostatic interaction, or adsorption on non-uniform substrates. We thoroughly scrutinized the extended RSA model developed for bilayer and multilayer formation. We collected the mean saturated packing fractions of various two- and three-dimensional objects and provided the most accurate result for two-dimensional disk packing. In the second part of this paper, we summarize various numerical algorithms and techniques that allow one to effectively implement RSA algorithms. We describe efficient methods for detecting intersections of various shapes and techniques enabling generation of strictly saturated RSA packings built of a wide range of different shapes. We hinted at how an inherently sequential RSA scheme can be parallelized. Finally, we critically discuss the limitations of the model and possible directions for future studies.
随机顺序吸附（RSA）是用于研究大分子和颗粒吸附的最有效理论模型之一，在胶体和界面科学领域有着悠久的传统。在本文的第一部分，我们展示了如何应用 RSA 模型来解释实验数据，并提取有关吸附单层密度、生长动力学以及微观结构特性（如配位数函数和单层粗糙度）的信息。我们简要总结了用于单层的 RSA 模型的最重要推广，并回顾了其扩展，例如各种颗粒形状、引入静电相互作用或在不均匀基底上的吸附。我们彻底研究了开发用于双层和多层形成的扩展 RSA 模型。我们收集了各种二维和三维物体的平均饱和堆积分数，并为二维圆盘堆积提供了最准确的结果。在本文的第二部分，我们总结了各种允许有效实现 RSA 算法的数值算法和技术。我们描述了用于检测各种形状的交点的有效方法以及生成由广泛不同形状组成的严格饱和 RSA 堆积的技术。我们暗示了如何并行化固有顺序 RSA 方案。最后，我们批判性地讨论了模型的局限性和未来研究的可能方向。
