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Modeling of surface roughening induced by laser ablation

机译:激光烧蚀引起的表面粗糙化建模

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Laser-induced disordering of a model solid surface was simulated using the Monte Carlo method. The roughening of the surface was monitored in the course of the simulation and it was compared with analytical solutions obtained by means of a suitably modified version of the Random Deposition (RD) model. In particular, the influence of the number of laser pulses and the dimensions of a cubicoid crater produced by a single pulse on the structural and adsorptive properties of the surface were studied. It was demonstrated that the mean surface depth and the interface width can be expressed by simple functions of the number of laser scans, regardless of the assumed crater dimensions. A similar finding was obtained in the case of the depth distribution functions as well as for the average number of contact points per lattice site. The latter quantity, which defines the number of vertical facets surrounding a molecule adsorbed on a given lattice site, was found to have substantial effect on the energetic properties of the surface. A detailed analysis of the population of sites with different number of contact points was also performed. This procedure enabled the calculation of temperature programmed desorption (TPD) spectra of monomolecular adsorbates from surfaces subjected to a different number of laser scans. The spectra calculated using the absolute rate theory (ART) were also compared with the result of the Monte Carlo simulations carried out for the same systems. Good quantitative matches between the ART and the simulations were obtained in all the cases studied.
机译:使用蒙特卡洛方法模拟了模型固体表面的激光诱导无序。在模拟过程中监控表面的粗糙程度,并将其与通过适当修改的随机沉积(RD)模型获得的分析溶液进行比较。尤其是,研究了激光脉冲数量和单个脉冲产生的立方坑的尺寸对表面的结构和吸附性能的影响。结果表明,无论假定的弹坑尺寸如何,平均表面深度和界面宽度都可以通过激光扫描次数的简单函数表示。对于深度分布函数以及每个晶格位点的平均接触点数,也获得了类似的发现。已发现后者的量定义了吸附在给定晶格位点上的分子周围的垂直小平面的数量,对表面的能量性质具有实质性影响。还对具有不同接触点数量的站点的数量进行了详细分析。该程序使得能够从经受不同数量的激光扫描的表面计算单分子吸附物的程序升温解吸(TPD)光谱。还使用绝对速率理论(ART)计算的光谱与对相同系统进行的蒙特卡洛模拟的结果进行了比较。在所有研究的案例中,ART和模拟之间都获得了良好的定量匹配。

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