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O1NumHess:一个快速而准确的半数学赫斯算法,只使用O(1) 梯度
Bo Wang1, Shaohang Luo2, Zikuan Wang1
1Qingdao Institute for Theoretical and Computational Sciences, Center for Optics Research and Engineering, Shandong University, Qingdao, Shandong 266237, P. R. China.
Journal of chemical theory and computation
|October 21, 2025
概括
一个新的算法,O1NumHess,使用O(1) 梯度高效地计算分子Hessian,利用偏斜的低等级属性. 这种方法提供了与传统技术相比的准确性,同时显著提高了计算速度.
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:
- 计算分子系统的hessian对于确定振动频率和热力学性质至关重要.
- 传统的半数字化赫斯算法需要大量的位移几何形状,导致高计算成本.
研究的目的:
- 介绍一种新的算法,O1NumHess,用于高效的赫斯计算.
- 为了减少对赫西亚计算所需的梯度评估的数量.
主要方法:
- 开发了O1NumHess算法,利用O(1) 位移几何体的梯度的有限分化.
- 借助了Hessians的偏斜低等级 (ODLR) 属性,将独立条目从O(N_atom^2) 减少到O(N_atom).
- 在各种分子系统上使用BDF程序实现并测试了算法.
主要成果:
- 对于频率,零点能量和自由能量,O1NumHess的准确性与传统的双面半数值hessian相提并论.
- 该算法比传统的数值和经常分析的赫西安方法显著提高了速度.
- 大型系统只需要大约100个梯度,比传统方法大幅减少.
结论:
- O1NumHess为计算分子Hessians提供了一个高效和准确的替代方案.
- 该方法的速度和减少的计算需求使其适用于大型分子系统.
- 一个开源实现是可用的,适用于超越计算化学.
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