We will present examples of predictive multiscale modeling in computational materials science, which were performed at Kintech Lab company during last 20 years. The multiscale workflows for different fields of industrial applications will be described, including thin film deposition for microelectronics, growth of carbon nanostructures, efficiency of energy conversion in photovoltaics and phosphors, degradation of SiC-based power electronic devices, modeling of polymer matrix nanocomposites, etc. In addition, we will describe software tools, developed at Kintech Lab for performing these multiscale studies.

Andrey Knizhnik was born in 1975 and he studied chemical physics at Moscow Institute of Physics and Technology (MIPT). From 1998 he worked at Laboratory of Theoretical Researches at National Research Center “Kurchatov Institute” (NRC “KI”). He got his Ph. D. on plasma physics in 2002 at Moscow Institute of Physics and Technology. He is a co-founder of Kintech Lab company, which was established in 2000 by several researchers from NRC “KI”, MIPT and Moscow State University. Since 2003, he is a Head of Advanced Materials Department at Kintech Lab. ​