Detailed Kinetic Modeling of Silicon Nanoparticle Formation Chemistry via Automated Mechanism Generation
Author(s) -
HsiWu Wong,
Xuegeng Li,
Mark T. Swihart,
Linda J. Broadbelt
Publication year - 2004
Publication title -
the journal of physical chemistry a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 235
eISSN - 1520-5215
pISSN - 1089-5639
DOI - 10.1021/jp049591w
Subject(s) - nanoparticle , silicon , silane , nucleation , particle size , particle (ecology) , reaction mechanism , chemistry , thermal decomposition , nanotechnology , kinetic energy , yield (engineering) , materials science , chemical engineering , chemical physics , organic chemistry , catalysis , physics , oceanography , quantum mechanics , geology , metallurgy , engineering
Thermal decomposition of silane can be used to produce silicon nanoparticles, which have attracted great interest in recent years because of their novel optical and electronic properties. However, these silicon nanoparticles are also an important source of particulate contamination leading to yield loss in conventional semiconductor processing. In both cases, a fundamental knowledge of the reaction kinetics of particle formation is needed to understand and control the nucleation of silicon particles. In this work, detailed kinetic modeling of silicon nanoparticle formation chemistry was carried out using automated reaction mechanism generation. Literature values, linear free-energy relationships (LFERs), and a group additivity approach were incorporated to specify the rate parameters and thermochemical properties of the species in the system. New criteria for terminating the mechanisms generated were also developed and compared, and their suitability for handling an unbounded system was evaluated. Four di...
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