Molecular dynamics simulations of nanoparticles growth
28 February 2020
Campus Groenenborger, Building U, Room 244 - Groeneborgerlaan 171 - 2020 Antwerpen (route: UAntwerpen, Campus Groenenborger
4:00 PM - 5:00 PM
Organization / co-organization:
NANOlab Center of Excellence
NANOlab Seminar presented by Prof. Pascal Brault, GREMI CNRS - Université d'Orléans, France
As plasma processing is atomic and molecular by nature, simulations at the molecular level will be relevant for providing us with insight for core and interface plasma chemistry basic phenomena. Moreover, statistical averaging allows to provide/predict macroscopic data as reaction rates, diffusion coefficients, ... Among all the available molecular simulation tools, (reactive) molecular dynamics (MD) simulation technique is a good compromise between quantum mechanical and kinetic Monte-Carlo methods, especially due to the availability of robust and accurate reactive force fields . MD are simulations are calculating the trajectories of a set of particles, by solving the appropriate set of Newton equation of motion. Initial conditions of MD simulations are selected for matching experimental conditions. The present talk will focus on the (reactive) growth of nanoparticles (NP) in gas aggregation source (GAS) powered by a magnetron plasma sputtering.
Two approaches are described here: modelling the NP growth from a metal vapour in a (reactive gas) and modelling the sputtering and the entire GAS source in a single multiscale simulation. In the former case, the simulation box is composed of the plasma forming gas (Argon here), a metal vapour (Pd, Pt, Bi, Ni, Cu, or Au) considered as issued from sputtering) and if relevant a reactive (O2 here). The ratio of the plasma components is deduced from experiments [2, 3]. The composition and morphology of NPs are consistent with experimental findings, especially catalytic properties . In the latter case, it is possible to describe the entire process of sputtering and NP growth and deposition using scaling arguments: it is enough to keep the experimental collision number in the MD simulation box .
 E. C. Neyts and P. Brault, Plasma Process. Polym. 14 (2017) 1600145
Contact email: email@example.com
 P. Brault, et al, Frontiers of Chemical Science and Engineering 13 (2019) 324 - 329
 W. Chamorro-Coral, et al, Plasma Process. Polym 16 (2019) 1900006
 P. Brault et al, J. Phys. Chem. C 123 (2019) 29656
 P. Brault, Frontiers in Physics 6 (2018) 59