AFM Methodology for the Measurement of Silicon Wafer Microroughness

1996 ◽  
Vol 440 ◽  
Author(s):  
A.G. Gilicinski ◽  
S.E. Beck ◽  
R.M. Rynders ◽  
D.A. Moniot

AbstractDespite the growing use of atomic force microscopy (AFM) for the measurement of silicon wafer microroughness, no generally accepted method has been developed to deal with issues around accuracy and reproducibility. We review problems that affect these AFM studies and demonstrate the effect of probe tip size on AFM microroughness data. Without knowledge of AFM probe tip geometry, it is impossible to quantitatively compare Ra or RMS microroughness data between different measurements. An experimental solution is to characterize tip sizes during imaging and compare data taken with similar size tips. While this will significantly improve quantitation, it is restrictive in that data taken with different size tips cannot be easily compared. We propose a solution to this problem in the use of power spectral density (PSD) to evaluate microroughness with a “cutoff frequency” at the lateral wavelength where tip effects begin to affect the accuracy of the microroughness measurement. An example of this approach is described

2017 ◽  
Vol 742 ◽  
pp. 447-456
Author(s):  
Bastian Brück ◽  
Thomas Guglhoer ◽  
Simon Haug ◽  
Christina Kunzmann ◽  
Michael Schulz ◽  
...  

The topography of a surface consists of structures of different length scales. The surface roughness caused by these structures plays a decisive role in interfacial properties. Atomic Force Microscopy (AFM) can be applied to measure the surface topography with great accuracy and thus facilitates roughness quantification. Here, however, the data reduction poses a challenge. In a conventional approach, surface roughness parameters are evaluated based on averaging height differences, which leads to values dominated by the largest height differences of the surface topography. To quantify contributions of smaller structures to the roughness, a previous study presented a tunable local background correction, which eliminates structures on a larger than selected scale. Therefore, this method only considers surface structures smaller than the chosen scale. A different approach to quantify surface roughness on all length scales covered by AFM measurements uses Fourier transformation of the surface topography to calculate the power spectral density, which describes the amplitudes of different contributing spatial frequencies.In the current study, a new approach based on power spectral density is used to quantify surface roughness parameters as a function of the length scale of contributions to the surface topography. This procedure allows a comprehensive characterization of surface roughness and an intuitive comparison of different surfaces.The usefulness of this method and its compatibility to local background correction is demonstrated by analyzing several commercially available carbon fibers with and without different fiber surface treatments.


Applied Nano ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 25-30
Author(s):  
Ivan V. Nikolaev ◽  
Nikolay G. Korobeishchikov

In this work, the formation of periodic nanostructures on the surface of potassium titanyl phosphate (KTP) has been demonstrated. The surface of KTP single crystals after the processing of argon cluster ions with different energy per cluster atom E/Nmean = 12.5 and 110 eV/atom has been studied using atomic force microscopy (AFM). To characterize the nanostructures, the power spectral density (PSD) functions have been used. The features of the formation of periodic nanostructures are revealed depending on the incident angle of clusters and different energy per atom in clusters.


2013 ◽  
Vol 4 ◽  
pp. 32-44 ◽  
Author(s):  
Jannis Lübbe ◽  
Matthias Temmen ◽  
Sebastian Rode ◽  
Philipp Rahe ◽  
Angelika Kühnle ◽  
...  

The noise of the frequency-shift signal Δf in noncontact atomic force microscopy (NC-AFM) consists of cantilever thermal noise, tip–surface-interaction noise and instrumental noise from the detection and signal processing systems. We investigate how the displacement-noise spectral density d z at the input of the frequency demodulator propagates to the frequency-shift-noise spectral density d Δ f at the demodulator output in dependence of cantilever properties and settings of the signal processing electronics in the limit of a negligible tip–surface interaction and a measurement under ultrahigh-vacuum conditions. For a quantification of the noise figures, we calibrate the cantilever displacement signal and determine the transfer function of the signal-processing electronics. From the transfer function and the measured d z , we predict d Δ f for specific filter settings, a given level of detection-system noise spectral density d z ds and the cantilever-thermal-noise spectral density d z th. We find an excellent agreement between the calculated and measured values for d Δ f . Furthermore, we demonstrate that thermal noise in d Δ f , defining the ultimate limit in NC-AFM signal detection, can be kept low by a proper choice of the cantilever whereby its Q-factor should be given most attention. A system with a low-noise signal detection and a suitable cantilever, operated with appropriate filter and feedback-loop settings allows room temperature NC-AFM measurements at a low thermal-noise limit with a significant bandwidth.


2003 ◽  
Vol 76 (1) ◽  
pp. 220-238 ◽  
Author(s):  
Arun Ghosh ◽  
R. S. Rajeev ◽  
A. K. Bhattacharya ◽  
A. K. Bhowmick ◽  
S. K. De ◽  
...  

Abstract This paper reports the results of Atomic Force Microscopic (AFM) studies on blends of silicone rubber and fluororubber based on tetrafluoroethylene/propylene/vinylidene fluoride terpolymer. The surface morphology of the single component rubbers and their blends and the effect of the blend ratio on the surface morphology were studied using analysis techniques of AFM images including surface plot, section analysis, roughness analysis and power spectral density analysis. The compatibility of the two rubber phases depends on the dimensions of the granules on the surface, measured from the section analysis and the histograms derived from the section analysis. As predicted by the histograms, the surface morphology of the blends is governed primarily by the silicone rubber, even at low concentration of silicone rubber in the blend. The height image, amplitude image, surface plot and section analysis display a distinct surface morphology for the 50/50-silicone rubber/fluororubber blend. The roughness and power spectral density (PSD) analyses show that the 50/50-blend exhibits maximum surface roughness. The results of surface energy measurements of the single component rubbers and their blends in general conform to the findings of AFM studies.


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