Trajectory-dependent electronic stopping in simulations of self-ion ranges in elemental semiconductors

IF 13.1 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Rafael Nuñez-Palacio, Glen P. Kiely, Artur Tamm, Andrea E. Sand
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引用次数: 0

Abstract

Characterizing how materials respond to energetic-particle irradiation is fundamental to a wide range of semiconductor processes. However, the deceleration of energetic particles in solids remains an active area of research due to the complex nature of energy exchange between ionic and electronic systems. Recently, the advent of two-temperature molecular dynamics models has enabled more realistic simulations of this highly anisotropic deceleration process. In this work, we present a parametrization of the unified two-temperature model for self-ions in elemental semiconductor crystals that accurately reproduces the electronic stopping values obtained from real-time time-dependent density functional theory (rt-TDDFT). This includes channeled and incommensurate trajectories, as well as collision-like interactions. Using this model, we obtain ion range profiles that closely match available experimental data. We present penetration profiles for principal channeling directions and random trajectories. In the process, we characterize rt-TDDFT electronic stopping in germanium and diamond and extend existing results for silicon.
元素半导体中自离子范围模拟中的轨迹依赖电子停止
表征材料对能量粒子辐照的反应是广泛的半导体工艺的基础。然而,由于离子和电子系统之间能量交换的复杂性,高能粒子在固体中的减速仍然是一个活跃的研究领域。最近,双温分子动力学模型的出现使这种高度各向异性减速过程的模拟更加真实。在这项工作中,我们提出了元素半导体晶体中自离子的统一双温度模型的参数化,该模型精确地再现了从实时时变密度泛函理论(rt-TDDFT)获得的电子停止值。这包括通道和不相称的轨迹,以及类似碰撞的相互作用。利用该模型,我们得到了与现有实验数据非常吻合的离子范围分布图。我们提出了主要通道方向和随机轨迹的穿透剖面。在此过程中,我们表征了锗和金刚石中的rt-TDDFT电子停止,并扩展了硅中的现有结果。
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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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