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arXiv 2104.01496cond-mat.mtrl-scicond-mat.mes-hallphysics.app-ph
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扫描透射电子显微镜(STEM)成像的快速算法及4D- STEM衍射模拟

A Fast Algorithm for Scanning Transmission Electron Microscopy (STEM) Imaging and 4D-STEM Diffraction Simulations

Philipp M Pelz, Alexander Rakowski, Luis Rangel DaCosta, Benjamin H Savitzky, Mary C Scott, Colin Ophus

摘要:

扫描透射电子显微镜(STEM)是一种在原子尺度上研究材料的非常通用的方法。许多STEM实验都得到了电子散射模拟的支持或验证。然而,使用传统的多切片算法来执行这些模拟可能需要非常大的计算时间,特别是对于具有数百万个探针位置的实验,因为每个探针位置必须独立地模拟。最近,开发了PRISM算法以减少大型STEM模拟的计算时间。在这里,我们介绍了一种新的STEM模拟方法:将STEM探头划分为“子光束”,由父光束的自然相邻插值给出。这个想法与PRISM模拟兼容,并且可以导致模拟时间的更大改进,以及需要显着更少的计算机RAM。我们已经进行了各种模拟,以证明分区PRISM STEM模拟的优点和缺点。我们发现,这种新的算法是特别有用的4D-STEM模拟大视场。我们还提供了一个参考实现的multislice,PRISM和分区PRISM算法。

英文摘要:

Scanning transmission electron microscopy (STEM) is an extremely versatile method for studying materials on the atomic scale. Many STEM experiments are supported or validated with electron scattering simulations. However, using the conventional multislice algorithm to perform these simulations can require extremely large calculation times, particularly for experiments with millions of probe positions as each probe position must be simulated independently. Recently, the PRISM algorithm was developed to reduce calculation times for large STEM simulations. Here, we introduce a new method for STEM simulation: partitioning of the STEM probe into "beamlets," given by a natural neighbor interpolation of the parent beams. This idea is compatible with PRISM simulations and can lead to even larger improvements in simulation time, as well requiring significantly less computer RAM. We have performed various simulations to demonstrate the advantages and disadvantages of partitioned PRISM STEM simulations. We find that this new algorithm is particularly useful for 4D-STEM simulations of large fields of view. We also provide a reference implementation of the multislice, PRISM and partitioned PRISM algorithms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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