在寻找二维随机顺序吸附的形状最大化填充分数时，
In a search for a shape maximizing packing fraction for two-dimensional random sequential adsorption
摘要：
随机顺序吸附（RSA）的各种二维对象进行了研究，以找到一个形状，最大限度地饱和填充分数。这项调查是在我们以前的论文中开始的[Cievila et al.，Phys.Chem.Chem.Phys.17，24376（2015）]，其中研究了平滑二聚体的密排堆积。在这里，这种形状与平滑的$n$ -聚体，spherocylinders和椭圆形进行比较。发现所研究形状中最高的填充分数是$0.58405 \pm 0.0001$，并且是针对长轴与短轴比为$1.85$的椭圆获得的，这也是所研究形状中最大的各向异性。
英文摘要：
Random sequential adsorption (RSA) of various two dimensional objects is studied in order to find a shape which maximizes the saturated packing fraction. This investigation was begun in our previous paper [Cieśla et al., Phys. Chem. Chem. Phys. 17, 24376 (2015)], where the densest packing was studied for smoothed dimers. Here this shape is compared with a smoothed $n$-mers, spherocylinders and ellipses. It is found that the highest packing fraction out of the studied shapes is $0.58405 \pm 0.0001$ and is obtained for ellipses having long-to-short axis ratio of $1.85$, which is also the largest anisotropy among the investigated shapes.
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