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Electron Probe Microanalysis of Ni Silicides Using Ni-L X-Ray Lines
Xavier Llovet1, Philippe T Pinard2, Erkki Heikinheimo3
11Scientific and Technological Centers,Universitat de Barcelona,Lluís Solé i Sabarís 1-3,08028 Barcelona,Spain.
Electron probe microanalysis of nickel silicides reveals discrepancies in Ni L3-M4,5 line analysis. Using empirical mass attenuation coefficients and modified fluorescence yields improves accuracy, as does employing the Ni L3-M1 line.
Area of Science:
- Materials Science
- Analytical Chemistry
- Solid State Physics
Background:
- Electron probe microanalysis (EPMA) is crucial for elemental analysis of materials.
- Nickel silicides are important in microelectronics and catalysis.
- Accurate quantitative analysis of nickel silicides using EPMA presents challenges.
Purpose of the Study:
- Investigate anomalies in EPMA of nickel silicides using the Ni L3-M4,5 (Lα) line.
- Identify sources of systematic discrepancies between experimental data and theoretical predictions.
- Improve the accuracy of quantitative analysis for nickel silicides.
Main Methods:
- Performed electron probe microanalysis on various nickel silicide compounds (Ni5Si2, Ni2Si, Ni3Si2, NiSi).
- Measured X-ray emission spectra to obtain self-absorption spectra.
- Determined empirical mass-attenuation coefficients from relative X-ray intensity measurements.
Main Results:
- Examined the dependence of Ni L3-M4,5 k-ratios on mass-attenuation coefficients and partial fluorescence yields.
- Calculated k-ratios using empirical mass attenuation coefficients and modified partial fluorescence yields showed improved agreement with experimental data.
- Satisfactory agreement was also achieved by utilizing the Ni L3-M1 (Lℓ) line instead of the Ni L3-M4,5 line.
Conclusions:
- The accuracy of EPMA for nickel silicides can be enhanced by refining parameters like mass-attenuation coefficients and fluorescence yields.
- The Ni L3-M1 line offers a viable alternative for accurate analysis of nickel silicides, especially when Lα line analysis shows discrepancies.
- These findings contribute to more reliable quantitative analysis in materials science research.
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