硬x射线光电子衍射的分层多次散射方法:理论与应用

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Trung-Phuc Vo, Olena Tkach, Sylvain Tricot, Didier Sébilleau, Jürgen Braun, Aki Pulkkinen, Aimo Winkelmann, Olena Fedchenko, Yaryna Lytvynenko, Dmitry Vasilyev, Hans-Joachim Elmers, Gerd Schönhense, Ján Minár
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引用次数: 0

摘要

光电子衍射(PED)是一种强大的亚埃精度表面结构分辨技术。在高光子能量下,角分辨光发射光谱(ARPES)揭示了PED效应,通常受到小截面、动量传递和声子散射的挑战。x射线PED (XPD)不仅是一种有利的方法,而且表现出意想不到的效果。我们提出了一个自旋极化相对论Korringa-Kohn-Rostoker (SPRKKR)包的PED实现,利用多重散射理论和一步光发射模型来解开它们。与传统的实空间方法不同,我们的方法通过层- kkr方法使用k空间公式,在宽能量范围(20-8000 eV)内提供高效准确的计算,没有角动量或簇大小收敛问题。此外,合金模拟模型可以模拟有限温度XPD和软/硬x射线ARPES的效果。应用包括模拟Si(100) 2p和Ge(100) 3p在6000 eV圆偏振光子激发下的核能级光电发射的角分布中的圆二色性(CDAD)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Layered multiple scattering approach to Hard X-ray photoelectron diffraction: theory and application

Layered multiple scattering approach to Hard X-ray photoelectron diffraction: theory and application

Photoelectron diffraction (PED) is a powerful technique for resolving surface structures with sub-angstrom precision. At high photon energies, angle-resolved photoemission spectroscopy (ARPES) reveals PED effects, often challenged by small cross-sections, momentum transfer, and phonon scattering. X-ray PED (XPD) is not only an advantageous approach but also exhibits unexpected effects. We present a PED implementation for the spin-polarized relativistic Korringa-Kohn-Rostoker (SPRKKR) package to disentangle them, employing multiple scattering theory and a one-step photoemission model. Unlike conventional real-space approaches, our method uses a k-space formulation via the layer-KKR method, offering efficient and accurate calculations across a wide energy range (20-8000 eV) without angular momentum or cluster size convergence issues. Additionally, the alloy analogy model enables simulations of finite-temperature XPD and effects in soft/hard X-ray ARPES. Applications include modeling circular dichroism in angular distributions (CDAD) in core-level photoemission of Si(100) 2p and Ge(100) 3p, excited by 6000 eV photons with circular polarization.

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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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