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Quantum transport models based on NEGF and empirical pseudopotentials for accurate modeling of nanoscale electron devices

机译:基于NEGF和经验伪势的量子传输模型,用于精确建模纳米电子器件

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u This paper presents significant new developments concerning the full-band, quantum simulation of nanostructured systems and nanoscale electron devices based on an empirical pseudopotential Hamiltonian. We demonstrate that the method is of general applicability, in fact, we show results for planar, ultrathin-body FETs and also for three-dimensional, nanowire FETs, and we deal with different crystal orientations and account for possible stress/strain conditions in the simulated systems. Some of the simulations reported in this paper have been made computationally viable by the substantial improvements of the numerical efficiency compared to our previous pseudopotentials based methodology. Most of the methods and algorithms discussed in this paper are not specific to an empirical pseudopotential Hamiltonian; on the contrary, they can also be applied to different Hamiltonians described with a plane-wave basis, which is frequently employed for ab initio, Density Functional Theory based calculations. The application of the methodologies described in this work may thus be more far reaching than it is illustrated by the case studies explicitly addressed in the present paper.
机译:u本文介绍了基于经验伪势哈密顿量的有关纳米结构系统和纳米级电子器件的全波段量子模拟的重大新进展。我们证明了该方法具有普遍适用性,实际上,我们显示了平面超薄体FET以及三维纳米线FET的结果,并且我们处理了不同的晶体取向,并考虑了可能的应力/应变条件。模拟系统。与我们以前的基于伪势的方法相比,通过大幅提高数值效率,本文中报告的某些仿真已在计算上可行。本文讨论的大多数方法和算法都不特定于经验伪势哈密顿量。相反,它们也可以应用于以平面波为基础描述的不同哈密顿量,这通常用于从头算基于密度泛函理论的计算中。因此,本工作中描述的方法的应用范围可能比本文明确解决的案例研究所说明的应用范围更广。

著录项

  • 来源
    《Journal of Applied Physics》 |2019年第5期|055703.1-055703.11|共11页
  • 作者

    Pala Marco G.; Esseni David;

  • 作者单位

    Univ Paris Saclay Univ Paris Sud CNRS Ctr Nanosci & Nanotechnol 10 Blvd Thomas Gobert F-91120 Palaiseau France;

    Univ Udine DPIA Via Sci 206 I-33100 Udine Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 04:36:49

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