成核
分子动力学
化学物理
晶体生长
纳米技术
Crystal(编程语言)
材料科学
统计物理学
化学
计算机科学
计算化学
热力学
物理
结晶学
程序设计语言
作者
Jamshed Anwar,Dirk Zahn
标识
DOI:10.1002/anie.201000463
摘要
Abstract Exploring nucleation processes by molecular simulation provides a mechanistic understanding at the atomic level and also enables kinetic and thermodynamic quantities to be estimated. However, whilst the potential for modeling crystal nucleation and growth processes is immense, there are specific technical challenges to modeling. In general, rare events, such as nucleation cannot be simulated using a direct “brute force” molecular dynamics approach. The limited time and length scales that are accessible by conventional molecular dynamics simulations have inspired a number of advances to tackle problems that were considered outside the scope of molecular simulation. While general insights and features could be explored from efficient generic models, new methods paved the way to realistic crystal nucleation scenarios. The association of single ions in solvent environments, the mechanisms of motif formation, ripening reactions, and the self‐organization of nanocrystals can now be investigated at the molecular level. The analysis of interactions with growth‐controlling additives gives a new understanding of functionalized nanocrystals and the precipitation of composite materials.
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