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Parameterization of the Chaotic Surface Relief Based on Atomic-Force Microscopic Data

机译:基于原子力显微镜数据的混沌表面起伏参数化

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摘要

An approach to parameterization of the structure of chaotic surfaces was presented which employs the flicker-noise spectroscopic technique for analyzing the atomic-force microscopy data arrays. This approach implies calculation of the surface relief parameters with the use of the information parameters characterizing the components of the surface relief profiles for different spatial frequency ranges. The basic characteristics of the nanoscale surface structure include the nanorelief stepwiseness and spikiness describing the highest-frequency component of the nanorelief. The capabilities of the FNS methodology were demonstrated by the example of parameterization of AFM data arrays for binary and triple systems crystallized on mica from aqueous acidic solutions of chitosan, Pluronic, and porphyrin photosensitizer (dimegin). These systems attract much interest in the context of studies dedicated photoinduced oxidation of organic substrates in aqueous solutions.
机译:提出了一种参数化混沌表面结构的方法,该方法采用了闪烁噪声光谱技术来分析原子力显微镜数据阵列。该方法意味着利用表征不同空间频率范围的表面起伏轮廓的分量的信息参数来计算表面起伏参数。纳米级表面结构的基本特征包括纳米浮雕的逐步性和尖刺性,描述了纳米浮雕的最高频率成分。 FNS方法学的功能通过对AFM数据阵列进行参数化的例子来证明,该参数用于从壳聚糖,Pluronic和卟啉光敏剂(dimegin)的酸性水溶液中在云母上结晶的二元和三元系统的AFM数据阵列。在专门研究水溶液中有机底物的光致氧化研究的背景下,这些系统引起了极大的兴趣。

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