在寻找最佳的低成本方法,以有效选符合条件的人
Haedam Mun1, Wanutcha Lorpaiboon1, Junming Ho1
1School of Chemistry, The University of New South Wales, Sydney, NSW 2052, Australia.
The journal of physical chemistry. A
|May 16, 2024
概括
有效的低成本方法可以准确地定位分子最低能量的适配体. 使用格里姆的CENSO算法的新策略显著减少了找到这些能量最小值的计算时间.
科学领域:
- 计算化学的计算化学
- 分子建模分子建模
- 量子化学 是一个量子化学.
背景情况:
- 精确计算分子平衡属性的依赖于识别最低能量的调整器.
- 需要有效的方法来降低与构造性搜索相关的计算成本.
研究的目的:
- 评估各种低成本计算方法的性能,以确定能量最小值.
- 为了比较紧密结合和"三c"复合材料方法的准确性和效率与高级基准.
主要方法:
- 评估GFN-FF,GFN2-xTB,DFTB3,HF-3c,B97-3c,PBEh-3c和r2SCAN-3c方法的使用情况.
- 与revDSD-PBEP86-D4/def2-TZVPP//MP2/cc-pVTZ的潜在能量表面进行比较.
- 对包括,和金属复合体在内的20种分子进行多样化的测试.
主要成果:
- "3c"复合方法显示出更高的准确性,但在计算上更昂贵.
- 紧密结合的方法提供了能源最小值与基准值的良好调整.
- 格里姆的CENSO能量分类算法证明了计算时间减少了十倍.
结论:
- 低成本的紧固结合方法为符合性搜索提供了准确性和效率的良好平衡.
- CENSO算法提供了一种实用的策略,可以加速识别最低能耗的调整器.
- 这项工作有助于优化用于分子性质预测的计算工作流.
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