We present a model to study complex physical systems composed by a set of clusters of different chemical species immersed in a matrix with which they interact. The overall model describes the transient of the basic mechanisms governing the processes of interaction in a two-dimensional micrometer size system. At each time step, the continuum (micrometer scale) model computes the macroscopic fields according to the prescribed boundary conditions. The continuum system is discretized with a desired number of uniform computational cells. Each cell contains a number of computational particles which represent the actual particles mixture. The particle-in-cell (discrete) model maps the macroscopic fields from the (continuum) cells to the particles. A molecular dynamics approach is used for computing the chemical reactions among the particles. We present results of a recent application of this approach to the simulation of nanoparticles formation in SHS reactors [1]. [1] G. Zuccaro, G. Lapenta, G. Maizza, Computer Phys. Commun., 162, 89 (2004).
Zuccaro, G., Lapenta, G., Maizza, G., Mesoscale Simulation of Nanoparticle Production, Abstract de <<American Physical Society, 47th Annual DPP Meeting, 2005>>, (Denver (Colorado - U.S.A.), 2005-10-24 ), American Physical Society, Denver (Colorado - U.S.A.) 2005:47 3-3 [https://hdl.handle.net/10807/226828]
Mesoscale Simulation of Nanoparticle Production
Zuccaro, Gianluca;
2005
Abstract
We present a model to study complex physical systems composed by a set of clusters of different chemical species immersed in a matrix with which they interact. The overall model describes the transient of the basic mechanisms governing the processes of interaction in a two-dimensional micrometer size system. At each time step, the continuum (micrometer scale) model computes the macroscopic fields according to the prescribed boundary conditions. The continuum system is discretized with a desired number of uniform computational cells. Each cell contains a number of computational particles which represent the actual particles mixture. The particle-in-cell (discrete) model maps the macroscopic fields from the (continuum) cells to the particles. A molecular dynamics approach is used for computing the chemical reactions among the particles. We present results of a recent application of this approach to the simulation of nanoparticles formation in SHS reactors [1]. [1] G. Zuccaro, G. Lapenta, G. Maizza, Computer Phys. Commun., 162, 89 (2004).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.