准确,负担得起和无监督:由一般化内部坐标驱动的分析F12梯度
Luigi Crisci1, Federico Lazzari1, Vincenzo Barone2
1Scuola Superiore Meridionale, Largo San Marcellino 10, 80138 Napoli, Italy.
The journal of physical chemistry letters
|September 16, 2025
概括
准确的量子化学预测现在是负担得起的复杂分子使用比萨复合方案 (PCS). 这种新方法可以为各种分子系统进行常规,高精度的光谱模拟.
科学领域:
- 量子化学 是一个量子化学.
- 分子光谱学 分子光谱学
- 计算化学计算化学
背景情况:
- 准确的量子化学预测对于分子科学,包括光谱学至关重要.
- 目前的基准水平方法对于现实的分子大小而言,在计算上昂贵.
- 需要负担得起,准确的计算方法.
研究的目的:
- 介绍比萨复合方案 (PCS) 的模块化实施方案.
- 为中型和复杂分子提供准确和负担得起的量子化学预测.
- 为了促进常规的光谱模拟,量化不确定性.
主要方法:
- 用分析梯度实现Pisa复合方案 (PCS) 的模块化实现.
- 为了高效的几何优化,PCS变体的层次组合.
- 多层ONIOM (我们自己的N层集成分子轨道和分子力学) 方法结合了高精度和低成本的DFT (密度函数理论) 方法.
主要成果:
- 对于中等大小的分子,达到近光谱的精度.
- 成功模拟了具有挑战性的系统,如CN替代的PAH和过渡状态.
- 证明了强大的优化和高效的频率计算.
结论:
- PCS平台为准确的分子模拟提供了一个用户友好的,免费可用的解决方案.
- 这种策略可以显著降低计算成本,同时保持高精度.
- 为复杂系统的常规,光谱精确模拟铺平了道路.
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