论文标题

在使用原子精确的高级制造中创建的多谱系补丁中的强大合并

Robust incorporation in multi-donor patches created using atomic-precision advanced manufacturing

论文作者

Campbell, Quinn, Koepke, Justine C., Ivie, Jeffrey A., Mounce, Andrew M., Ward, Daniel R., Carroll, Malcolm S., Misra, Shashank, Baczewski, Andrew D., Bussmann, Ezra

论文摘要

Atomic Precision Advanced Instaluduring可以在Crystalline SI的$ \ pm $ 1的晶格网站内放置掺杂剂原子。但是,最近已经显示,反应动力学可能会引入不确定性,即单个供体是否将完全融合到最小的3二聚体光刻窗口中。在这项工作中,随着这种窗口的大小增加,我们探讨了光刻变化和随机动力学对P掺入的综合影响。我们增强了pH $ _3 $解离的动力学模型,从而导致p in of si(100)-2 $ \ times $ 1的P $ compination $ 1,以包括跨不同二聚体行的反应的障碍。使用此模型,我们证明,即使对于由2 $ \ times $ 3硅二聚体组成的窗口,至少一个捐赠者合并的可能性几乎是统一性的。我们还研究了光刻窗口尺寸的影响,发现并发现,随着周长与区域比率接近零,掺入量为$δ$ layer。我们预测,这种合并分数在很大程度上取决于前体的剂量,并且合并数量量表的标准偏差为$ \ sim \ sqrt {n} $,这对于一系列很大程度上独立的合并事件预期。最后,我们表征了一系列实验制备的多谱器光刻窗口,并使用我们的动力学模型来研究由于观察到的光刻粗糙度而导致的可变性,从而预测对掺入统计的影响可忽略不计。我们从扫描隧道显微镜测量值中发现了模型与这些窗口中的推断融合之间的良好一致性,这表明原子精确的高级制造对多折扣贴片的模式误差的鲁棒性。

Atomic-precision advanced manufacturing enables the placement of dopant atoms within $\pm$1 lattice site in crystalline Si. However, it has recently been shown that reaction kinetics can introduce uncertainty in whether a single donor will incorporate at all in a minimal 3-dimer lithographic window. In this work, we explore the combined impact of lithographic variation and stochastic kinetics on P incorporation as the size of such a window is increased. We augment a kinetic model for PH$_3$ dissociation leading to P incorporation on Si(100)-2$\times$1 to include barriers for reactions across distinct dimer rows. Using this model, we demonstrate that even for a window consisting of 2$\times$3 silicon dimers, the probability that at least one donor incorporates is nearly unity. We also examine the impact of size of the lithographic window, finding that the incorporation fraction saturates to $δ$-layer like coverage as the circumference-to-area ratio approaches zero. We predict that this incorporation fraction depends strongly on the dosage of the precursor, and that the standard deviation of the number of incorporations scales as $\sim \sqrt{n}$, as would be expected for a series of largely independent incorporation events. Finally, we characterize an array of experimentally prepared multi-donor lithographic windows and use our kinetic model to study variability due to the observed lithographic roughness, predicting a negligible impact on incorporation statistics. We find good agreement between our model and the inferred incorporation in these windows from scanning tunneling microscope measurements, indicating the robustness of atomic-precision advanced manufacturing to errors in patterning for multi-donor patches.

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