Nanotechnology and Advanced Materials

Knowledge-Based Systems are the analytical and calculation tools that: contain all relationships between all variables of the object; allow to calculate the values of one part of variables through other; allow to solve direct and inverse problems; allow to predict the characteristics of an object that have not been investigated yet; allow to predict technology parameters to obtain an object with desired characteristics. This paper presents a methodology and techniques of a creation of the Knowledge-Based Systems for nanomaterials. The example of the creation of Knowledge-Based System for the nanofilms of linear-chain carbon (sp1 state) with embedded into nanofilms various atoms by means of Data Science methods (artificial neural networks, etc) is presented. These nanomaterials were invented in Chuvash State University, by means of unique technology protected by patent. The nanomaterials can be of great interest for solid-state electronics, photovoltaic elements, sensors, etc. 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”, 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 nanomaterials 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 2020, and we invite scientists to give a contribution to this book. We are ready to help to any researcher to create a Knowledge-Based Systems of his own experiment. If you have a data base (a table) of experimental measurements we will be able to create yours Knowledge-Based System.We have to mark here that the direction of our work is near the well-known USA Materials Genome Initiative