高斯过程回归的高效实施 加速位搜索与分子反应的应用
Rohit Goswami1, Maxim Masterov2, Satish Kamath2
1Science Institute and Faculty of Physical Sciences, University of Iceland, 107 Reykjavík, Iceland.
高斯过程回归 (GPR) 加快了化学反应的位点的发现. 这种方法显著降低了计算成本,使过渡状态理论计算更有效.
科学领域:
- 计算化学计算化学
- 化学物理 化学物理
- 材料科学 材料科学 材料科学
背景情况:
- 定位点对于理解热激活过程中的反应机制和速率至关重要.
- 高维能量表面对电子结构计算提出了计算挑战.
- 过渡状态理论依赖于准确的位点识别来估计速率.
研究的目的:
- 开发一种高效的高斯过程回归 (GPR) 加速方法来定位点.
- 为了减少融合所需的电子结构计算的数量.
- 评估GPR方法在多种分子反应中的性能.
主要方法:
- 实现高斯过程回归 (GPR) 以加快最小模式的方法.
- 使用二进制方法来估计赫西安的最小自位数.
- 构建和更新一个替代能量表面与每个电子结构计算.
主要成果:
- 在电子结构计算中实现了数量下降的顺序,这是用于位点识别所需的.
- 证明效率与使用笛卡尔坐标的内部坐标方法 (例如,Sella) 相同.
- 在大多数情况下,即使在较低的Hartree-Fock水平上,也显示了位点搜索的减少墙壁时间.
结论:
- 通过GPR加速的位点搜索提供了显著的计算节省.
- 该方法在具有不同自由度刚度的分子系统中具有稳定性.
- 高效的GPR实现使得在计算化学中更快地探索反应路径.
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