A numerical solving method using the parallel computing technologies for the quantum-kinetic models

International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019"

材料科学;机械制造;原子能学

Abramov, G.V.^1 ; Gavrilov, A.N.^2 ; Akinina, Ju S.^3

Voronezh State University, Universiy sq. 1, Voronezh

394018, Russia^1

Voronezh State University of Engineering Technologies, Revolution ave. 19, Voronezh

394036, Russia^2

Voronezh State Technical University, Moskow ave. 14, Voronezh

394026, Russia^3

关键词: Boltzmann kinetic equations;    Cluster formations;    Functional parameters;    Parallel com- puting;    Quantum kinetic;    Solving method;    Synthesis parameters;    Synthesis process;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/537/5/052033/pdf
DOI  :  10.1088/1757-899X/537/5/052033

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In the process of designing a carbon nanostructure (CNS) synthesis system, the main task is to determine the technological and functional parameters of synthesis. We offered a mathematical model of the process for the purpose of studying the synthesis processes using the graphite thermal evaporation, based on the Boltzmann kinetic equation, which takes into account elastic and non-elastic particle interactions. We offer a numerical solving method using the parallel computing technologies. We conducted the study of the effect of the main synthesis parameters on the carbon cluster formation and the amount of obtained material containing CNS.