Knowledge Base is a Future of Nanomaterials World

V. Abrukov, V. Kochakov, S. Abrukov, A. Smirnov

Chuvash State University, Department of Applied Physics and Nanotechnology, Moskovsky pr., 15, 428034, Cheboksary, Russia

Knowledge Base is the analytical and calculation tool that: contains all relationships between all variables of the object; allows to calculate the values of one part of variables through others; allows to solve direct and inverse problems; allows to predict the characteristics of an object that have not been investigated yet; allows to predict technology parameters to obtain an object with desired characteristics. This paper presents in brief a methodology and techniques for a creation of the Knowledge-Based System of nanomaterials based on nanofilms of linear-chain carbon by means of artificial neural networks. All steps of the creation of the Knowledge-Based System and illustrations are presented on the Web-site of the paper as the autonomous computer modules of the Knowledge-Based System: “Creation of the knowledge base of nanomaterials and nanotechnologies of Chuvash Republic”, 2015. Anyone can download the modules and execute research on their own and obtain all graphs which depict relationship between all variables of the concrete nanomaterial.

We believe that the creation of the Knowledge-Based Systems appears to be a novel and very promising direction of research in the field of naomaterials and we invite all who are interested in collaboration.

In particular we plan to publish the monograph "Knowledge-based Systems in Nanotechnology" (Pan Stanford Publishing, Singapore) in 2015, and we invite scientists to give a contribution to this book.

We are ready to help to any researcher to create a Knowledge Base of his own experiment. If you have a data base (a table) of experimental measurements we will be able to create yours Knowledge Base.

We have to mark here that the direction of our work is near the well-known USA Materials Genome Initiative: Materials Genome Initiative Strategic Plan, 2014.

 

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