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Quantitative two-dimensional dopant profile measurement on semiconductors by scanning probe microscopy.

机译:通过扫描探针显微镜对半导体上的二维二维掺杂物轮廓进行定量测量。

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摘要

A Scanning Capacitance Microscope (SCM) has been built to measure two-dimensional (2D) dopant density profiles on semiconductor materials. A quasi-one-dimensional(1D) analytical model has been constructed for inverting the measured SCM data to dopant profile. Local Capacitance-Voltage (C-V) measurements have been performed on n;The calculation of the electrostatic force between a tip and semiconductor sample as a function of dopant density is also presented in this chapter. Finally, in the fourth chapter, the SCM measurement results are presented and the inverted 2D profiles are compared with the results obtained by other independent methods. A discussion about measurement sensitivity, spatial resolution, modeling errors, and future works is presented.;The dissertation presented here consists of four chapters. The first chapter introduces the dopant profile measurement and gives a review of existing doping profiling methods. The advantages of SCM for dopant profile measurement are discussed in this chapter. The second chapter concentrates on the instrumentation of SCM, SCM tip preparation, and silicon sample preparation for dopant profile measurement by SCM. The third chapter describes the tip/sample modeling by which the measured capacitance signal is inverted to dopant profile.
机译:已经建立了扫描电容显微镜(SCM),以测量半导体材料上的二维(2D)掺杂物密度分布。已构建了准一维(1D)分析模型,用于将测得的SCM数据转化为掺杂剂分布。已在n上进行了局部电容电压(C-V)测量;本章还介绍了尖端和半导体样品之间的静电力随掺杂剂密度变化的计算方法。最后,在第四章中,介绍了SCM测量结果,并将反转的2D轮廓与其他独立方法获得的结果进行了比较。讨论了测量灵敏度,空间分辨率,建模误差及今后的工作。本文的论文共分为四章。第一章介绍了掺杂剂分布的测量,并概述了现有的掺杂轮廓分析方法。本章讨论了SCM在掺杂物分布测量中的优势。第二章重点介绍了SCM的仪器,SCM尖端制备和用于SCM掺杂物轮廓测量的硅样品制备。第三章介绍了尖端/样品模型,通过该模型,测得的电容信号被转换为掺杂剂分布。

著录项

  • 作者

    Huang, Yunji.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Condensed matter physics.;Electrical engineering.
  • 学位 Ph.D.
  • 年度 1995
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:49:39

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