Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-29T03:36:41.244Z Has data issue: false hasContentIssue false

Four-Dimensional Dielectric Property Imaging of Low-K Materials for Copper Metallization Using Electron Spectroscopic Imaging Series

Published online by Cambridge University Press:  02 July 2020

S.C. Lo
Affiliation:
Department of Engineering and System Science, National Tsing-Hua University, Hsinchu, Taiwan 300, Republic of China
F.-R. Chen
Affiliation:
Department of Engineering and System Science, National Tsing-Hua University, Hsinchu, Taiwan 300, Republic of China
J.J. Kai
Affiliation:
Department of Engineering and System Science, National Tsing-Hua University, Hsinchu, Taiwan 300, Republic of China
L. Chang
Affiliation:
Department of Materials Science and Engineering, National Chiao-Tung University, Hsinchu, Taiwan, 300, Republic of China
Peijun Ding
Affiliation:
Applied Materials, Santa Clara, California, 95054, USA
Barry Chin
Affiliation:
Applied Materials, Santa Clara, California, 95054, USA
Fusen Chen
Affiliation:
Applied Materials, Santa Clara, California, 95054, USA
Get access

Abstract

EFTEM has become a very useful tool in characterizing material properties, because it allows studying local chemical and electronic properties of a specimen with nanometer level spatial resolution. There are two spectroscopic imaging methods have been established to obtain both the spatial and the spectra information, I (x, y, ΔE), which can be quantitatively evaluated. One technique, as known as spectrum-image method, is based on scanning the electron beam across the sample to acquire the EELS spectrum with two-dimensional information. Conversely, the other method retrieves the spectra in a specific position from a series of energy loss images, as known as imaging-spectrum method. The spectrum-image method can be achieved with better energy resolution, however, a long acquisition time. Compared to spectrum-image method, which acquires a series of spectrum with scanning probe, the advantage of imaging-spectrum method is the capability of simultaneously recording abundant information in a series of maps.

Type
EELS Microanalysis at High Sensitivity: Advances in Spectrum Imaging, Energy Filtering and Detection (Organized by R. Leapman and J. Bruley)
Copyright
Copyright © Microscopy Society of America 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

References:

1Reimer, L., Energy-filtering transmission electron microscopy, New YorkSpringer-Verlag (1995).CrossRefGoogle Scholar
2Egerton, R.F., Electron-energy loss spectroscopy in the electron microscope, New York Plenum(1996)CrossRefGoogle Scholar
3Hofer, F., Grogger, W., Warbichler, P., and Papst, I., Mikrochim. Acta 132(2000)273CrossRefGoogle Scholar
6Jeanguillaume, C. and Colliex, C., Ultramicroscopy 28(1989)252CrossRefGoogle Scholar
7Lavergne, J., Martin, J. and Belin, B., Microsc. Microanal. Microstruct. 3(1992)517CrossRefGoogle Scholar
8G. Botton, and G. L’Esperance, , J. Microsc. 173(1994) 9CrossRefGoogle Scholar
9Mayer, J. et al., Micron 5(1997)361370CrossRefGoogle Scholar
10Singhal, K. and Wlach, J. , Proc. IEEE (1972)1558CrossRefGoogle Scholar
11Chen, F.R. et al., J. Elec. Microsc. 48(6)(1999)827CrossRefGoogle Scholar
12 Priviate communication, Applied Material, Sata Clara, CA, USAGoogle Scholar