对分子结构的全球优化方法的审查:算法,应用和视角
Jorge Alberto Sanchez Alvarez1, Patrizia Calaminici1
1Chemistry Department, CINVESTAV, Mexico City, Mexico.
Journal of computational chemistry
|October 20, 2025
概括
全球优化技术对于预测化学结构,如结构和晶体多态性至关重要. 本综述详细介绍了随机和决定性方法,它们的应用,以及计算化学的未来方向.
科学领域:
- 计算化学的计算化学
- 化学物理 化学物理
背景情况:
- 预测化学结构对于理解分子行为至关重要.
- 全球优化方法提供了一种系统的方法来探索潜在的结构.
研究的目的:
- 为化学结构预测提供全球优化技术的全面审查.
- 讨论这个领域的历史发展,当前的方法和未来的趋势.
主要方法:
- 将全球优化方法分为随机和决定性方法的分类.
- 对算法框架,软件工具和应用程序的概述.
- 检查分子构造,晶体多态和反应通路的技术.
主要成果:
- 详细解释两个步骤的过程:全球搜索,然后进行本地改进.
- 讨论代表性应用,包括符合性采样和表面吸附.
- 关于全球优化算法的演变的历史视角.
结论:
- 量子方法的整合和混合算法的开发是未来的关键方向.
- 量子计算有可能解决复杂的化学预测问题.
- 全球优化的持续进步对于化学科学的进步至关重要.
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