Characterization of Amorphous and Crystalline Rough Surface: by Yiping Zhao

By Yiping Zhao

The constitution of a progress or an etch entrance on a floor isn't just a subject matter of significant curiosity from the sensible standpoint but additionally is of basic medical curiosity. quite often surfaces are created lower than non-equilibrium stipulations such that the morphology isn't consistently delicate. as well as an in depth description of the features of random tough surfaces, Experimental equipment within the actual Sciences, quantity 37, Characterization of Amorphous and Crystalline tough Surface-Principles and functions will concentrate on the elemental ideas of actual and diffraction thoughts for quantitative characterization of the tough surfaces. The booklet hence comprises the most recent improvement at the characterization and measurements of a wide selection of tough surfaces. The complementary nature of the genuine house and diffraction concepts is absolutely displayed.

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Therefore, the surface area should exist and should have a finite value in the sampling. , should also exist. These restrictions require that the surface is continuous, is differentiable, and has local integrals. In the following we shall give some general discussion about these properties. This discussion may help us to understand physical random rough surfaces better. Here, we start from a one-dimensional random process. All the conclusions can be extended to a random field. 3]. 1 Continuity For a stationary, finite-variance, real random process, h(r) is said to be continuous in a mean-square sense at r0, if limr--~ro E{[h(r) - h(r0)] 2} = 0.

Regular mounds are clearly present on the surface due to the step bias effect. 17) where Jo(x) is the zeroth-order Bessel function. Four parameters are used to describe the surface: the interface width w, the system correlation length ~, the roughness exponent a, and the average mound separation A. 19]. The corresponding autocorrelation functions are cos(-~-,, -z-), for 1+ 1 dimensions, for 2+1 dimensions. 21), the lateral correlation length ~ can be defined through the auto-correlation function as R(~) - 1/e and is a function of both ~ and A.

I I_. 2 4 .... 8 k, (arb. units) FIG. 9 Characteristic functions for mounded surfaces in 2+1 dimensions: (a) heightheight correlation function H(r), (b) auto-correlation function R(r), and (c) power spectrum P(kll ). Note that the height-height correlation function is plotted in a log-log scale, while the auto-correlation function and the power spectrum are plotted in linear scales (from Ref. 9]). 27A. [In fact, for the case of 1+1 dimensions, the surface can also be t r e a t e d like a linear system with the input as a p r o d u c t of an independent G a u s s i a n noise ~(t) and a sinusoidal function sin(2~t/A).

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