导体式极化连续模型与非静态辐射的SCF能量的分析第一导数
Lukas Wittmann1, Miquel Garcia-Ratés2, Christoph Riplinger2
1Mulliken Center for Theoretical Chemistry, University of Bonn, Bonn, Germany.
Journal of computational chemistry
|April 24, 2025
概括
本研究介绍了Gaussian-switching (SwiG) 导体式极化连续模型 (CPCM) 的分析梯度,该模型使用动态半径调整来进行连续溶解 (Draco). 这使得高效的几何优化和各种化学系统的准确计算成为可能.
科学领域:
- 计算化学计算化学
- 量子化学 是一个量子化学.
- 理论化学 理论化学
背景情况:
- 连续溶解模型对于模拟溶液中的化学过程至关重要.
- 精确计算分子性质需要高效的几何优化方法和赫斯计算.
- 在可偏振连续模型中创建范德瓦尔斯型腔的先前方法存在局限性.
研究的目的:
- 推导和实施高斯切换 (SwiG) 导体类偏振连续模型 (CPCM) 的分析梯度.
- 为了将范德瓦尔斯型空洞的一般核坐标依赖的非静态半径纳入使用动态半径调整连续溶解 (Draco) 方案.
- 为了在这个框架内实现高效的几何优化和可靠的数值赫西安计算.
主要方法:
- 对SwiG-CPCM模型的分析梯度的推导.
- 对连续溶解 (Draco) 的动态半径调整方案的实施,用于洞穴定义.
- 通过比较分析和数值梯度的验证,以及对各种化学物种的几何优化.
- 测试潜在能量的表面连续性和计算效率.
主要成果:
- 用Draco.成功地推导和实现了SwiG-CPCM的分析梯度.
- 通过比较分析和数值梯度,验证证实了准确性.
- 对小型有机分子,金属有机复合体和高电荷物种实现了高效的几何优化.
- 该方法证明了稳定性,即使原子半径发生了重大变化.
结论:
- 用Draco开发的SwiG-CPCM分析梯度为计算化学提供了一种高效和准确的方法.
- 这种方法促进了可靠的几何优化和赫斯计算,适用于广泛的化学系统.
- 在ORCA的实施确保了研究人员的广泛可访问性和适用性.
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