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Optimized Basis Sets for the Environment in the Domain-Specific Basis Set Approach of the Incremental Scheme

机译:增量方案的领域特定基集集合中环境的优化基集

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摘要

Minimal basis sets, denoted DSBSenv, have been developed based on the segmented basis sets of Ahlrichs and co-workers for use as environmental basis set for the domain-specific basis set incremental scheme with the aim of decreasing the CPU requirements of the incremental scheme. The use of this minimal basis within explicitly correlated (F12) methods has been enabled by the optimization of matching auxiliary basis sets for use in density fitting of two-electron integrals and the resolution-of-the-identity. The accuracy of these auxiliary sets has been validated by calculations on a test set containing small- to medium-sized molecules. The errors due to density fitting are about two to four orders of magnitude smaller than the basis set incompleteness error of the DSBSenv orbital basis sets. Additional reductions in computational cost are tested with the reduced DSBSenv basis sets, where the highest angular momentum functions of the DSBSenv auxiliary basis sets have been removed. The optimized and reduced basis sets are used in the framework of the domain-specific basis set of the incremental scheme to decrease the computation time without significant loss of accuracy. The computation times and accuracy of the previously used environmental basis and that optimized in this work is validated with a test set of medium- to large-sized systems. The optimized and reduced DSBSenv basis sets decrease the CPU-time by about 15.4% and 19.4% compared to the old environmental basis and retains the accuracy in the absolute energy with a standard deviation of 0.99 and 1.06 kJ/mol, respectively.
机译:已基于Ahlrichs和同事的分段基础集开发了最小基础集(称为DSBSenv),以用作特定领域基础集增量方案的环境基础集,目的是减少增量方案的CPU需求。通过对用于两个电子积分的密度拟合和等式分辨的匹配辅助基础集的优化,已经可以在显式相关(F12)方法中使用此最小基础。这些辅助套件的准确性已通过对包含中小分子的测试套件进行计算而得到验证。与DSBSenv轨道基础集的基础集不完整误差相比,由密度拟合引起的误差大约小2至4个数量级。使用减少的DSBSenv基本集测试了计算成本的其他减少,其中DSBSenv辅助基本集的最高角动量函数已被删除。在增量方案的特定于域的基础集的框架中使用经过优化和缩减的基础集,以减少计算时间,而不会显着降低准确性。以前使用的环境基础的计算时间和准确性以及这项工作中优化的计算时间和准确性已通过中型到大型系统的测试集进行了验证。与旧的环境基准相比,经过优化和减少的DSBSenv基础集将CPU时间减少了约15.4%和19.4%,并且以0.99和1.06 kJ / mol的标准偏差分别保留了绝对能量的精度。

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