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INFORMATIVE 'PASSPORT DATA' OF SURFACE NANO- AND MICROSTRUCTURES

机译:表面纳米和微观结构的信息性“护照数据”

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摘要

A general phenomenological approach -Flicker Noise Spectroscopy (FNS)-for revelation of information valuable parameters characterizing the arbitrary chaotic surfaces was developed to distinguish their patterns and describe quantitatively their functional properties. The method developed was applied to revelation of effects of a shungit filling agent in polypropylen matrix on the composite properties, revelation of hydrogen treatment effects on the cleavage surfaces of LiF monocrystals after their dissolution in water with quantitative evaluations of their anisotropy, analysis of activity of vacuum deposited porphyrins layers in a photosensibilized generation of singlet oxygen into gaseous phase. The approach elaborated can be used for developing the new control tools for processing scanning probe microscopy (SPM) data in nanotechnologies, microelectronics, production of polymeric materials with specific surface properties, and others.
机译:一般的现象学方法-Flicker噪声光谱(FNS) - 用于信息的序列,表征了任意混沌表面的表征任意混沌表面的有价值的参数,以区分它们的图案并描述其功能性质。该方法应用于在聚丙烯基质中对复合性质的促进作用的启动,氢处理对LiF单晶的溶解效果的启示溶解在其在水中溶解后的各向异性的定量评估,对活性分析真空沉积卟啉层,在光学化的单线氧中产生单线氧中成气相。阐述的方法可用于开发用于处理扫描探针显微镜(SPM)数据的新型控制工具,以在纳米技术,微电子,具有特异性表面性质的聚合物材料的生产,以及其他的。

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