Thermodynamics and Kinetics of Nanoclusters Controlling Gas-to-Particle Nucleation

被引:63
|
作者
Kathmann, Shawn M. [1 ]
Schenter, Gregory K. [1 ]
Garrett, Bruce C. [1 ]
Chen, Bin [2 ]
Siepmann, J. Ilja [3 ]
机构
[1] Pacific NW Natl Lab, Div Chem & Mat Sci, Richland, WA 99352 USA
[2] Louisiana State Univ, Dept Chem, Baton Rouge, LA 70803 USA
[3] Univ Minnesota, Dept Chem, Minneapolis, MN 55455 USA
来源
JOURNAL OF PHYSICAL CHEMISTRY C | 2009年 / 113卷 / 24期
关键词
VAPOR-LIQUID NUCLEATION; BIAS MONTE-CARLO; TRANSITION-STATE THEORY; UNITED-ATOM DESCRIPTION; MOLECULAR-DYNAMICS SIMULATION; BINARY HOMOGENEOUS NUCLEATION; NONUNIFORM POLYATOMIC SYSTEMS; DENSITY-FUNCTIONAL THEORY; PHASE-EQUILIBRIA; FREE-ENERGY;
D O I
10.1021/jp8092226
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Nucleation of new particles from vapor-phase molecular precursors is an important process in the synthesis of nanomaterials and in the formation of aerosols in the atmosphere. Vapor-to-particle nucleation is a macroscopic process controlled by nanoscale particles (e.g., molecular clusters). Computational approaches to nucleation have been limited by the lack of a consistent theory of the process and by the lack of efficient approaches to simulate the properties of clusters relevant to nucleation. In this article, we focus on two advances that allow nucleation to be treated in a rigorous manner for molecular systems: dynamical nucleation theory permits a consistent treatment of the nucleation kinetics and aggregation-volume-bias Monte Carlo simulations provides an efficient approach to evaluate the thermodynamics of molecular clusters important in nucleation. The combination of these two approaches positions molecular computational approaches to make significant advances in our understanding of the mechanisms of nucleation, particularly in multiple component systems that play crucial roles in nanoscience applications and in the atmosphere.
引用
收藏
页码:10354 / 10370
页数:17
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