Understanding XRR: How to Determine Thin Film Sample Thickness with GenX"

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SUMMARY

This discussion focuses on determining the thickness of thin film samples, specifically LSMO and PZT, using X-ray Reflectivity (XRR) data and GenX software. Key insights include the relationship between critical angle, signal decay, and film thickness, with a specific formula for calculating thickness based on interference maxima. For wedge-shaped samples, multiple measurement techniques such as repeated XRR measurements, ellipsometry, and Transmission Electron Microscopy (TEM) are recommended. The discussion emphasizes the importance of using appropriate software for data fitting and analysis.

PREREQUISITES
  • Understanding of X-ray Reflectivity (XRR) principles
  • Familiarity with GenX software for data analysis
  • Knowledge of thin film materials, specifically LSMO and PZT
  • Basic concepts of critical angle and interference patterns
NEXT STEPS
  • Learn how to use GenX for fitting XRR data
  • Research the principles of Transmission Electron Microscopy (TEM) for thickness measurement
  • Explore ellipsometry techniques for measuring thin film thickness
  • Study the book "Modern X-ray Physics" by Als-Nielsen & McMorrow for in-depth understanding
USEFUL FOR

This discussion is beneficial for undergraduate research assistants, materials scientists, and physicists working with thin films, particularly those involved in ferroelectric and ferromagnetic material research.

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I'm currently an undergrad research assistant in a lab that is experimenting with the interface between ferroelectrics and ferromagnetics. We have many thin film samples with various thicknesses and we often need to find out the thickness of these samples,which are mostly LSMO and PZT, as the sputtering of said samples can be off sometimes.

My question is this:

How can I read our XRR data to find the thickness of our samples? I've not been able to find any resources that explain the reflection peaks in terms of characteristics of the sample, such as layer thickness, density...etc.

Also, we have a sample that is wedge shaped, where the LSMO has a thickness of ~100nm on one side, and tappers off to 0. This wedge is then on top of a constant layer of PZT. Is there any standard and well-proven method to find the changing thickness of this sample.

Lastly, any tips and tricks with GenX would be appreciated also.

THANKS
 
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The basic features are easy to remember/derive:

1. The critical angle (below which there are no interference oscillations) depends on the material density,

2. The decay in the signal strength with increasing incidence angle depends on the roughness,

3. The period of oscillations depends on the film thickness.

The expression for the thickness is (utilizing a small angle approximation) what you get from writing the equation for an interference maximum at a particular angle:

\alpha_m ^2 - \alpha _0 ^2 = (m \lambda/2t)^2,

where \alpha _m it the glancing angle at which the m'th maximum is detected, \alpha _0 is the critical angle (described above), t is the film thickness, etc.

Plotting the square of the angle against m^2 allows you to extract the values for the critical angle and thickness.

Usually, however, your XRD system comes with software that will fit your data to extract all three parameters (density, roughness, thickness). Also, the manual for the software will explain the principles of XRR and the fitting expressions.

What is the lateral size of the LSMO/PZT wedge sample?
 
Our sample is around 5mm squared.
 
The following are ideas you can think about:

1. Measure the thickness at different locations along the sample using repeated XRR measurements. The problem with this will be beam width. A micro-XRD would fix that problem, but those are not easy to come by.

2. You might have better luck finding a narrow beam on an ellipsometer. You can calibrate the ellipsometer against an XRR derived thickness from a uniform film sample, and use that to measure thickness at different positions along the wedge sample.

3. TEM - this is usually the standard approach for something like this. May be harder to do, but gives you the best data.
 
A good reference for XRR is the book "modern X-ray physics" by Als-Nielsen & McMorrow.
 

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