基于机器学习力场的分子动力学模拟显示的SO3水解反应的有限大小水滴的表面封闭
1School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China.
Journal of the American Chemical Society
|May 2, 2023
概括
在大气中的三氧化硫水解产生各种产物. 机器学习模拟显示了依赖大小的反应路径,形成中性和离子硫酸,对大气化学至关重要.
科学领域:
- 大气化学
- 物理化学
- 计算化学
背景情况:
- 三氧化硫 (SO3) 水解是形成硫酸的关键大气过程,是大气酸度的重要贡献者.
- 与水集群的反应机制是复杂的,产生各种中性和离子产物,但在分子层面上仍然不太清楚.
- 现有的模拟工具缺乏在广泛的水大小中完全描述SO3水解的能力.
研究的目的:
- 开发和使用量子化学级机器学习 (ML) 模型来模拟用水集群的SO3水解.
- 阐明SO3水解的分子水平机制和尺寸依赖的产品分布.
- 提供关于大气中的硫酸形成和气溶化学的新见解.
主要方法:
- 基于量子化学原理的机器学习模型的开发.
- 模拟从少数分子到纳米尺寸的水的SO3反应.
- 对反应途径,中间结构和最终产品的形成进行分析.
主要成果:
- 根据水大小观察到不同的反应路径.
- 超小水群主要通过循环和非循环机制形成中性 (H2SO4) - H2O) 群.
- 较大的 ((H2O) 8及以上) 产生像 (HSO4) - ((H3O) +和 (SO4) 2 - ((H3O) +) 2这样的离子产物,通过质子转移和电荷选稳定.
结论:
- 该研究使用ML成功模拟了SO3水解,揭示了尺寸依赖产品的形成.
- 质子转移和离子稳定机制对于较大的水中的离子产物形成至关重要.
- 这些发现有助于更好地了解大气中的硫酸化学和气溶形成.
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