Predictive modeling of formation of carbon nanostructures

Abstract

Modern methods of predictive modeling and progress in understanding the mechanisms of self-assembly of carbon atoms into perfect carbon nanostructures achieved using these methods are described. The concept of multiscale modeling which makes it possible to model the formation of carbon nanostructures based on the first principles and in which the role of experimental data is restricted to verification of the models developed is discussed.