Rusakov Yuriy Yu, Rusakova Irina L
A. E. Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, Favorsky St. 1, 664033 Irkutsk, Russian Federation.
Phys Chem Chem Phys. 2021 Jul 14;23(27):14925-14939. doi: 10.1039/d1cp01984h.
This paper presents a new method of generating property-energy consistent (PEC) basis sets that can be applied to any arbitrary molecular property. The PEC method generates a basis set that is optimized for the molecular property under interest, providing the least possible total molecular energy. The main algorithm of the PEC approach involves Monte Carlo simulations to generate random exponents in the predetermined range. In this work, the PEC method is introduced in the example of generation of new pecJ-n (n = 1, 2) basis sets suited for high-quality correlated calculations of indirect nuclear spin-spin coupling constants involving the most popular NMR-active nuclei: 1H, 13C, 15N, and 19F.
本文提出了一种生成性质-能量一致(PEC)基组的新方法,该方法可应用于任何任意分子性质。PEC方法生成一个针对感兴趣的分子性质进行优化的基组,从而提供尽可能低的总分子能量。PEC方法的主要算法涉及蒙特卡罗模拟,以在预定范围内生成随机指数。在这项工作中,以生成适用于涉及最常用的核磁共振活性核(1H、13C、15N和19F)的间接核自旋-自旋耦合常数的高质量相关计算的新pecJ-n(n = 1, 2)基组为例,介绍了PEC方法。