Victor S. Abrukov, V.D. Kochakov, A.V. Smirnov, S.V. Abrukov
Chuvash State University
There is a very important question: is it possible to predict what should be the nano material (structure, components, and dimensions) and what technology should be used with to provide the required properties and characteristics of nano materials? In this paper we present the first results of application of Data Mining (DM) ,  to create special calculation models (CM) and to look for an answer the question. The CM are based on experimental results for the characteristics of nano films of linear-chain carbon (LCC) with embedded into LCC metal and nonmetal atoms (LCC MNA). For the first time LCC MNA were manufactured in the Chuvash State University , using unique technology protected by a patent , and using a variety of know-how. The direction of work can be of great interest for active and passive elements of solid-state electronics , sensors, medical applications, etc.
We believe that the Data Mining tools in particular the ANN are very promising methods of analyzing the available experimental results. They allow summarize the experimental results in a qualitatively new level (in the form of a computational model) and thereby significantly increase their value as well as they allow to obtain (to predict) the new "experimental" results without direct experimentation.
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