COMPLEMENTARY TECHNIQUES TO HIGH ENERGY ION BEAM ANALYSIS

Author:

METSON J. B.1,GUSTAFSSON M. J.1

Affiliation:

1. Department of Chemistry, The University of Auckland, Private Bag 92019, Auckland

Abstract

Ion beam analysis methods generally rely on either the scattering of a high energy primary particle, or secondary process arising from the stopping of this particle in the substrate. The information typically obtained is the identification and quantitation of elements present, often resolved in terms of their depth distribution. However, there are a variety of techniques which offer complementary information on the structure composition and chemistry of a surface. These are typified by rather softer interactions with the surface, typified by low energy (kV) ion beams or photons, which interact with the surface in rather more complex manner than higher energy ion beams. The combination of energy and momentum transfer for the ion beams, makes these methods less quantitative, but opens up the potential for more chemically detailed information on the nature of the surface. Secondary ion mass spectrometry (SIMS), both static and dynamic, and X-ray Photoelectron Spectroscopy (XPS) will be discussed in some detail. SIMS offers excellent compositional depth profiling capability, but offers poor quantitation, while XPS offers unparalleled chemical detail, but limited lateral and depth resolution. The underlying processes which dictate the strengths and limitations of these techniques are discussed, along with a number of typical applications to the analysis of oxide films and polymeric materials.

Publisher

World Scientific Pub Co Pte Lt

Subject

Condensed Matter Physics,Statistical and Nonlinear Physics

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3