计算 FEBID 使用的钨前驱体的电子散射截面

IF 1.8 4区 物理与天体物理 Q2 SPECTROSCOPY Journal of Electron Spectroscopy and Related Phenomena Pub Date : 2024-01-01 DOI:10.1016/j.elspec.2024.147430
Meenu Pandey, Bobby Antony
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引用次数: 0

摘要

本研究采用量子力学方法计算了 WF6、WCl6 和 W(CO)6 分子的整体弹性、非弹性、电离和动量传递散射截面。这些分子被认为是使用聚焦电子束诱导沉积(FEBID)技术沉积钨的前驱体。球形复光学势(SCOP)形式被用来计算总弹性、非弹性和动量传递截面。复散射势电离贡献(CSP-ic)方法用于计算非弹性通道的电离截面。计算是在从电离势到 5 keV 的能量范围内的精细网格上进行的。我们还报告了我们的数据与现有理论和实验结果的比较。首次报告了 WCl6 的所有类型的散射截面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Calculations of electron scattering cross sections from tungsten precursors used in FEBID

In this work, the integral elastic, inelastic, ionization, and momentum transfer scattering cross sections of WF6, WCl6, and W(CO)6 molecules are calculated using a quantum mechanical method. These are considered precursors for tungsten deposition using the focused electron beam-induced deposition (FEBID) technique. The spherical complex optical potential (SCOP) formalism is used to figure out the total elastic, inelastic, and momentum transfer cross sections. The complex scattering potential ionization contribution (CSP-ic) method is used to find the ionization cross sections in the inelastic channel. The calculations are performed on a fine grid in the energy range from the ionization potential to 5 keV. We have also reported comparisons of our data with available theoretical and experimental results. All types of scattering cross sections for WCl6 is reported for the first time.

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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
64
审稿时长
60 days
期刊介绍: The Journal of Electron Spectroscopy and Related Phenomena publishes experimental, theoretical and applied work in the field of electron spectroscopy and electronic structure, involving techniques which use high energy photons (>10 eV) or electrons as probes or detected particles in the investigation.
期刊最新文献
Theory of circular dichroism in angle- and spin-resolved photoemission from the surface state on Bi(111) Atomic data, and ionization cross-sections by electron impact of tungsten ions, W LXV Elucidating the structure of amorphous-carbon films containing carbide and non-carbide-forming metals Encoder–decoder neural networks in interpretation of X-ray spectra Editorial Board
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